library(tidyverse)
## Warning: package 'tidyverse' was built under R version 4.0.5
## -- Attaching packages --------------------------------------- tidyverse 1.3.0 --
## v ggplot2 3.3.3     v purrr   0.3.4
## v tibble  3.1.0     v dplyr   1.0.5
## v tidyr   1.1.2     v stringr 1.4.0
## v readr   1.4.0     v forcats 0.5.0
## Warning: package 'tibble' was built under R version 4.0.5
## Warning: package 'dplyr' was built under R version 4.0.5
## -- Conflicts ------------------------------------------ tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()
library(haven) # to read data from .sav format from Qualtrics
library(codebook) # to generate codebook
library(here)
## here() starts at C:/Users/Nami Sunami/Documents/git/dissertation-private
# Codebook
knitr::opts_chunk$set(
  warning = TRUE, # show warnings during codebook generation
  message = TRUE, # show messages during codebook generation
  error = FALSE, # do not interrupt codebook generation in case of errors,
                # usually better for debugging
  echo = TRUE  # show R code
)
ggplot2::theme_set(ggplot2::theme_bw())

Load Data

Download the .sav (SPSS) file from Qualtrics and load it with haven().

# Load data
s3_sav <- "Study3.sav"
s3_df <- haven::read_sav(here("data", s3_sav))

Data Preparation

Drop Unneded Variables and Unfinished Responses

Dropping variables such as IP Address, and panel metadata from Qualtrics. In addition, I’m dropping the location information since they are not used in my study. I’m also excluding entries that had a blank condition values as unfinished responses.

s3_df <- s3_df %>% 
  select(-IPAddress,
         -(RecipientLastName:RecipientEmail),
         -ExternalReference,
         -LocationLatitude,
         -LocationLongitude)
# Drop Unfinished Responses (Responses without conditions are unfinished )
s3_df <- s3_df %>% 
  filter(parasocial != "")

Scale Variables

Scaled variables were - On-The-Fly Measure of Social World (OTF_Social_World_1:OTF_Social_World_4) - No reversed items - Player Character Identification (PC_Identification_1:PC_Identification_6) - No reversed items

# On-the-fly Measure of Social World ----------------------------------------
s3_df$OTF_Social_World <- s3_df %>% select(OTF_Social_World_1:OTF_Social_World_4) %>% aggregate_and_document_scale()

# Player Character Identifiaction ----------------------------------------
s3_df$PC_Identification <- s3_df %>% select(PC_Identification_1:PC_Identification_6) %>% aggregate_and_document_scale()

# Enjoyment  ----------------------------------------
enjoyment_rev_items <- paste0("enjoyment_", c(3)) # Reversed Item
s3_df <- s3_df %>% 
  # Add "R" to the reversed items variable names
  rename_at(enjoyment_rev_items, add_R) %>% 
  # Apply function to reverse the items
  mutate_at(paste0(enjoyment_rev_items, "R"), reverse_labelled_values)
# Aggregate as a scale
s3_df$Enjoyment <- s3_df %>% select(starts_with("Enjoyment_")) %>%
  aggregate_and_document_scale()

Variables for Gender, Race, Parasocial Relationship Groups, Attention Check

# Gender ---------------------------------------------------------------
s3_df <- s3_df %>% 
  mutate(across(starts_with("Gender"),
                to_factor)) %>%
  unite("Gender_Identity", Gender_1:Gender_7_TEXT,
        remove = FALSE, na.rm = TRUE, sep = " & ") %>%
  # Remove trailing "&"
  mutate(Gender_Identity = gsub('^\\s& |\\s& $', '', Gender_Identity)) %>%
  # Gropu into Female, Male, and Non-FM
  mutate(Gender_Identity_3GP = case_when(Gender_Identity == "Female" ~ "Female",
                                         Gender_Identity == "Male" ~ "Male",
                                         TRUE ~ "Other"))
## Effect Coding Gender
s3_df <- s3_df %>% 
  mutate(Gender_Identity_2GP_EC = case_when(Gender_Identity == "Female" ~ "Female",
                                         Gender_Identity == "Male" ~ "Male"),
         Gender_Identity_2GP_EC = case_when(Gender_Identity == "Female" ~ .5,
                                         Gender_Identity == "Male" ~ -.5))

# Race ------------------------------------------------------------
s3_df <- s3_df %>% 
  mutate(across(starts_with("Race_"),
                to_factor)) %>%
  unite("Race", Race_1:Race_6_TEXT,
        remove = FALSE, na.rm = TRUE, sep = " & ") %>%
  # Remove trailing "&"
  mutate(Race = gsub('^\\s& |\\s& $', '', Race)) %>%
  # Grouping in to White 
  mutate(Race_6GP = case_when(Race == "Native American" ~ "Native American",
                              Race == "Black/African-American" ~ "Black/African-American",
                              Race == "White" ~ "White",
                              Race == "Asian" ~ "Asian",
                              Race == "Pacific Islander" ~ "Pacific Islander",
                              TRUE ~ "Other/Multiracial"))

# Parasocial Relationships Manipulation Check ------------------------------
# Create variable for parasocial values 
parasocial_labels <- c("No Interaction with NPC",
                       "No Parasocial Relationship with NPC",
                       "Formed Parasocial Relationship with NPC")

# Add the 
s3_df <- s3_df %>% 
  mutate(parasocial_MC_group = 
           case_when(Interact_with_NPC == 2 ~ 1,
                     Interact_with_NPC == 1 & IOS == 0 ~ 2,
                     Interact_with_NPC == 1 & IOS > 0 ~ 3),
         parasocial_MC_group = ordered(parasocial_MC_group,
                                       levels = c(1, 2, 3),
                                       labels = parasocial_labels))

# Attention Check ---------------------------------------------------------------
s3_df <- s3_df %>% 
  # Rejection Attention Check
  mutate(attention_rejection_correct = 
           case_when(Attention_Rejection == 1 ~ TRUE,
                     TRUE ~ FALSE)) %>% 
  # Parasocial Relationship Attention Check
  mutate(attention_parasocial_correct = 
           case_when(parasocial == "High" & Attention_Sashu == 1 ~ TRUE,
                     parasocial == "Low" & Attention_Sashu == 3 ~ TRUE,
                     TRUE ~ FALSE)) %>% 
  # Social World Attention Check
  mutate(attention_social_world_correct = 
           case_when(social_world == "High" & Attention_Story == 1 ~ TRUE,
                     social_world == "Low" & Attention_Story == 3 ~ TRUE,
                     TRUE ~ FALSE)) %>% 
  # All Attention Checks
  mutate(attention_all_correct = 
           case_when(attention_rejection_correct == TRUE &
                       attention_parasocial_correct == TRUE &
                       attention_social_world_correct == TRUE ~ TRUE,
                     TRUE ~ FALSE))

Rename Condition Labels

s3_df <- s3_df %>%
  mutate(parasocial = case_when(parasocial == "High" ~ "High Parasocial",
                                parasocial == "Low" ~ "Low Parasocial"),
         social_world = case_when(social_world == "High" ~ "High Social World",
                                  social_world == "Low" ~ "Low Social World"))

Effect Coding Parasocial and Social World

s3_df <- s3_df %>%
  mutate(parasocial_EC = case_when(parasocial == "High Parasocial" ~ .5,
                                parasocial == "Low Parasocial" ~ -.5),
         social_world_EC = case_when(social_world == "High Social World" ~ .5,
                                  social_world == "Low Social World" ~ -.5))

Effect Coding Gender

s3_df <- s3_df %>%
  mutate(parasocial_EC = case_when(parasocial == "High Parasocial" ~ .5,
                                parasocial == "Low Parasocial" ~ -.5),
         social_world_EC = case_when(social_world == "High Social World" ~ .5,
                                  social_world == "Low Social World" ~ -.5))

Export Public Dataset

I exported the data to a cleaned public dataset for analysis. Since the dataset will be public, and the answers to the open-ended responses could potentially be personally identifiable, I dropped the answers to the following open-ended responses. - Rejection essay - Participants’ responses about the purpose of the study - Participants’ responses to share anything about the study I exported the dataset in both .rds and .csv formats. (Study3_public.rds, Study3_public.csv)

# Drop write-in responses for the public dataset
s3_public <- s3_df %>% select(-Rejection_Essay,
                              -Study_Purpose,
                              -Share_Anything)
# Save as .rds and .csv 
write_rds(s3_public, here("data_public", "Study3_public.rds"))
write_csv(s3_public, here("data_public", "Study3_public.csv"))

Codebook

I use codebook to add metadata.

# Study Name 
metadata(s3_df)$name <- "Nami Sunami's Dissertation - Study 3"
# Study Description
metadata(s3_df)$description <- paste0("

### Download link
[Open Science Framework](https://osf.io/XXXXX)

### Preprocessing
All rating variables (i.e., actual choice, friendship, short-term relationship etc.) were corrected for prior acquaintance, which means that dates wih prior acquaintance were excluded (set to missing) on a dyadic basis.

Variables are labeled in SPSS. 

### A list of important abbreviations, prefixes and suffixes:

* PSI = Parasocial Interaction 
* PC = Player Character
")

# Study Identifier 
metadata(s3_df)$identifier <- "https://osf.io/jvk3u/"

# Date published 
metadata(s3_df)$datePublished <- "2015-10-07"

# Creator information 
metadata(s3_df)$creator <- list(
  "@type" = "Person",
  givenName = "Nami", familyName = "Sunami",
  email = "naoyuki.sunami@gmail.com", 
  affiliation = list("@type" = "Organization",
                     name = "University of Delaware, USA"))

# Citation Information
metadata(s3_df)$citation <- "XXXXXXXXX"
# URL
metadata(s3_df)$url <- "https://osf.io/XXXXXXXX/"
# Temporal Coverage
metadata(s3_df)$temporalCoverage <- "2021"
# Spacial Coverage 
metadata(s3_df)$spatialCoverage <- "Delaware, United States
# Distribution" 
metadata(s3_df)$distribution = list(
  list("@type" = "DataDownload",
       "requiresSubscription" = "http://schema.org/True",
       "encodingFormat" = "https://www.loc.gov/preservation/digital/formats/fdd/fdd000469.shtml",
       contentUrl = "https://osf.io/XXXX/download")
)
codebook(s3_df)
## Loading required namespace: GPArotation
## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

Metadata

Description

Dataset name: Nami Sunami’s Dissertation - Study 3

Preprocessing

All rating variables (i.e., actual choice, friendship, short-term relationship etc.) were corrected for prior acquaintance, which means that dates wih prior acquaintance were excluded (set to missing) on a dyadic basis.

Variables are labeled in SPSS.

A list of important abbreviations, prefixes and suffixes:

  • PSI = Parasocial Interaction
  • PC = Player Character
Metadata for search engines
name value
@type Person
givenName Nami
familyName Sunami
email
affiliation Organization , University of Delaware, USA
x
DataDownload
x
http://schema.org/True
x
https://www.loc.gov/preservation/digital/formats/fdd/fdd000469.shtml
x
https://osf.io/XXXX/download
x
StartDate
EndDate
Status
Progress
Duration_in_seconds
Finished
RecordedDate
ResponseId
DistributionChannel
UserLanguage
Q_RecaptchaScore
Age
Race
Race_1
Race_2
Race_3
Race_4
Race_5
Race_6
Race_6_TEXT
Hispanic
Relationship
Relationship_7_TEXT
Gender_Identity
Gender_1
Gender_2
Gender_8
Gender_6
Gender_7
Gender_7_TEXT
Sexori
Sexori_6_TEXT
T1_Heart_1
T1_Valence_1
T1_Arousal_1
T1_Dominance_1
Rejection_Essay
Rejection_Timer_First_Click
Rejection_Timer_Last_Click
Rejection_Timer_Page_Submit
Rejection_Timer_Click_Count
RPG_Timer_First_Click
RPG_Timer_Last_Click
RPG_Timer_Page_Submit
RPG_Timer_Click_Count
Game_Code_HH
Game_Code_HL
Game_Code_LH
Game_Code_LL
T2_Heart_1
T2_Valence_1
T2_Arousal_1
T2_Dominance_1
Interact_with_NPC
Most_Close
Most_Close_6_TEXT
IOS
Single_Immersion
OTF_Social_World_1
OTF_Social_World_2
OTF_Social_World_3
OTF_Social_World_4
enjoyment_1
enjoyment_2
enjoyment_3R
enjoyment_4
enjoyment_5
PC_Identification_1
PC_Identification_2
PC_Identification_3
PC_Identification_4
PC_Identification_5
PC_Identification_6
Attention_Rejection
Attention_Sashu
Attention_Story
Study_Purpose
Share_Anything
Raffle_PC
Raffle_Enemies
id
t_consent_submit
t_generalInstructions_submit
t_age_submit
t_race_submit
t_hispanic_submit
t_relationship_submit
t_gender_submit
t_sexori_submit
t_T1Heart_submit
t_T1Valence_submit
t_T1Arousal_submit
t_T1Dominance_submit
t_rejectionEssayIntro_submit
t_rejectionEssay_submit
t_RPGinst_submit
t_RPGplay_submit
t_T2Heart_submit
t_T2Valence_submit
t_T2Arousal_submit
t_T2Dominance_submit
t_intractCharacters_submit
t_closestCharacter_submit
t_IOS_submit
t_PSI_submit
t_singleImmersion_submit
t_narrativeEngagement_submit
t_otfSocialWorld_submit
t_enjoyment_submit
t_PCidentification_submit
t_almostDone_submit
t_attentionRejection_submit
t_attentionSashu_submit
t_attentionStory_submit
t_studyPurpose_submit
t_shareAnything_submit
t_raffle_submit
attention_rejection_correct
attention_parasocial_correct
attention_social_world_correct
attention_all_correct
parasocial
social_world
debug
mobile
raffle_all_correct
OTF_Social_World
PC_Identification
Enjoyment
Gender_Identity_3GP
Gender_Identity_2GP_EC
Race_6GP
parasocial_MC_group
parasocial_EC
social_world_EC

#Variables

StartDate

Start Date

Distribution

## 407  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique min median max format.spss display_width
StartDate Start Date POSIXct 0 1 407 2021-03-12 02:21:01 2021-03-19 12:47:07 2021-04-11 23:42:00 DATETIME20 0

EndDate

End Date

Distribution

## 408  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique min median max format.spss display_width
EndDate End Date POSIXct 0 1 408 2021-03-12 03:16:15 2021-03-19 14:43:12 2021-04-12 00:29:31 DATETIME20 0

Status

Response Type

Distribution

Distribution of values for Status

Distribution of values for Status

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Status Response Type haven_labelled 0 1 0 0 0 0 0 12 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2581><U+2581><U+2581> F40.0 0

Value labels

Response choices
name value
IP Address 0
Survey Preview 1
Survey Test 2
Imported 4
Spam 8
Survey Preview Spam 9
Imported Spam 12
Offline 16
Offline Survey Preview 17
EX 32
EX Spam 40
EX Offline 48

Progress

Progress

Distribution

Distribution of values for Progress

Distribution of values for Progress

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
Progress Progress numeric 0 1 6 100 100 94.29412 19.07716 <U+2581><U+2581><U+2581><U+2581><U+2587> F40.2 0

Duration_in_seconds

Duration (in seconds)

Distribution

Distribution of values for Duration__in_seconds_

Distribution of values for Duration_in_seconds

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
Duration_in_seconds Duration (in seconds) numeric 0 1 18 2300 609490 19431.47 73204.15 <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0

Finished

Finished

Distribution

Distribution of values for Finished

Distribution of values for Finished

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Finished Finished haven_labelled 0 1 0 1 1 0.9166667 0.2767247 2 <U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2587> F40.0 0

Value labels

Response choices
name value
False 0
True 1

RecordedDate

Recorded Date

Distribution

## 408  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique min median max format.spss display_width
RecordedDate Recorded Date POSIXct 0 1 408 2021-03-12 03:16:16 2021-03-19 20:56:44 2021-04-12 00:29:32 DATETIME20 0

ResponseId

Response ID

Distribution

Distribution of values for ResponseId

Distribution of values for ResponseId

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
ResponseId Response ID character 0 1 408 0 17 17 0 A50 0

DistributionChannel

Distribution Channel

Distribution

Distribution of values for DistributionChannel

Distribution of values for DistributionChannel

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
DistributionChannel Distribution Channel character 0 1 1 0 9 9 0 A255 0

UserLanguage

User Language

Distribution

Distribution of values for UserLanguage

Distribution of values for UserLanguage

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
UserLanguage User Language character 0 1 1 0 2 2 0 A255 0

Q_RecaptchaScore

Q_RecaptchaScore

Distribution

Distribution of values for Q_RecaptchaScore

Distribution of values for Q_RecaptchaScore

2 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
Q_RecaptchaScore Q_RecaptchaScore numeric 2 0.995098 0.4 1 1 0.9748768 0.0580282 <U+2581><U+2581><U+2581><U+2581><U+2587> F40.2 0

Age

Age

Distribution

Distribution of values for Age

Distribution of values for Age

2 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
Age Age numeric 2 0.995098 18 19 63 19.57143 4.407465 <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0

Race

Distribution

Distribution of values for Race

Distribution of values for Race

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
Race character 0 1 22 2 0 88 0 NA

Race_1

Race - Selected Choice Native American

Distribution

## 1  unique, categorical values, so not shown.

407 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Race_1 Race - Selected Choice Native American factor FALSE 1. Native American 407 0.002451 1 Nat: 1

Race_2

Race - Selected Choice Black/African-American

Distribution

Distribution of values for Race_2

Distribution of values for Race_2

378 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Race_2 Race - Selected Choice Black/African-American factor FALSE 1. Black/African-American 378 0.0735294 1 Bla: 30

Race_3

Race - Selected Choice White

Distribution

Distribution of values for Race_3

Distribution of values for Race_3

93 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Race_3 Race - Selected Choice White factor FALSE 1. White 93 0.7720588 1 Whi: 315

Race_4

Race - Selected Choice Asian

Distribution

Distribution of values for Race_4

Distribution of values for Race_4

343 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Race_4 Race - Selected Choice Asian factor FALSE 1. Asian 343 0.1593137 1 Asi: 65

Race_5

Race - Selected Choice Pacific Islander

Distribution

Distribution of values for Race_5

Distribution of values for Race_5

406 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Race_5 Race - Selected Choice Pacific Islander factor FALSE 1. Pacific Islander 406 0.004902 1 Pac: 2

Race_6

Race - Selected Choice Prefer to self-describe

Distribution

Distribution of values for Race_6

Distribution of values for Race_6

394 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Race_6 Race - Selected Choice Prefer to self-describe factor FALSE 1. Prefer to self-describe 394 0.0343137 1 Pre: 14

Race_6_TEXT

Race - Prefer to self-describe - Text

Distribution

## 12  unique, categorical values, so not shown.

0 missing values.

Summary statistics

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".
name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Race_6_TEXT Race - Prefer to self-describe - Text factor FALSE 1. ,
2. Ashkenazi Jewish,
3. Chinese,
4. Hispanic,
5. Hispanic/Latino,
6. Jordanian,
7. Latina,
8. Latino,
9. Latino/Latinx/Hispanic,
10. Middle eastern,
11. Middle Eastern,
12. My parents are from Central America but I was born in the U.S.
0 1 12 emp: 394, His: 2, Lat: 2, Mid: 2

Hispanic

Hispanic

Distribution

Distribution of values for Hispanic

Distribution of values for Hispanic

2 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Hispanic Hispanic haven_labelled 2 0.995098 1 2 2 1.91133 0.2846175 2 <U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2587> F40.0 0

Value labels

Response choices
name value
Yes 1
No 2

Relationship

Relationship Status - Selected Choice

Distribution

Distribution of values for Relationship

Distribution of values for Relationship

2 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Relationship Relationship Status - Selected Choice haven_labelled 2 0.995098 1 2 7 2.559113 1.2473 7 <U+2583><U+2587><U+2581><U+2586><U+2581><U+2581><U+2581><U+2581> F40.0 0

Value labels

Response choices
name value
Single—not interested in dating 1
Single—interested in dating 2
Dating Casually 3
Dating Exclusively 4
Engaged 5
Married 6
Other (specify): 7

Relationship_7_TEXT

Relationship Status - Other (specify): - Text

Distribution

Distribution of values for Relationship_7_TEXT

Distribution of values for Relationship_7_TEXT

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
Relationship_7_TEXT Relationship Status - Other (specify): - Text character 0 1 1 408 0 0 0 A255 0

Gender_Identity

Distribution

Distribution of values for Gender_Identity

Distribution of values for Gender_Identity

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
Gender_Identity character 0 1 7 2 0 34 0 NA

Gender_1

Gender - Selected Choice Male

Distribution

Distribution of values for Gender_1

Distribution of values for Gender_1

271 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Gender_1 Gender - Selected Choice Male factor FALSE 1. Male 271 0.3357843 1 Mal: 137

Gender_2

Gender - Selected Choice Female

Distribution

Distribution of values for Gender_2

Distribution of values for Gender_2

145 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Gender_2 Gender - Selected Choice Female factor FALSE 1. Female 145 0.6446078 1 Fem: 263

Gender_8

Gender - Selected Choice Nonbinary

Distribution

Distribution of values for Gender_8

Distribution of values for Gender_8

403 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Gender_8 Gender - Selected Choice Nonbinary factor FALSE 1. Nonbinary 403 0.0122549 1 Non: 5

Gender_6

Gender - Selected Choice Unsure

Distribution

## 1  unique, categorical values, so not shown.

407 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Gender_6 Gender - Selected Choice Unsure factor FALSE 1. Unsure 407 0.002451 1 Uns: 1

Gender_7

Gender - Selected Choice Prefer to self-describe

Distribution

## 1  unique, categorical values, so not shown.

407 missing values.

Summary statistics

name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Gender_7 Gender - Selected Choice Prefer to self-describe factor FALSE 1. Prefer to self-describe 407 0.002451 1 Pre: 1

Gender_7_TEXT

Gender - Prefer to self-describe - Text

Distribution

Distribution of values for Gender_7_TEXT

Distribution of values for Gender_7_TEXT

0 missing values.

Summary statistics

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".
name label data_type ordered value_labels n_missing complete_rate n_unique top_counts
Gender_7_TEXT Gender - Prefer to self-describe - Text factor FALSE 1. ,
2. Demigirl
0 1 2 emp: 407, Dem: 1

Sexori

Sexual Orientation - Selected Choice

Distribution

Distribution of values for Sexori

Distribution of values for Sexori

3 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Sexori Sexual Orientation - Selected Choice haven_labelled 3 0.9926471 1 1 9 1.446914 1.303184 7 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581> F40.0 0

Value labels

Response choices
name value
Heterosexual 1
Gay/lesbian 2
Bisexual 3
Asexual 8
Pansexual 9
Unsure 5
Prefer to self-describe 6

Sexori_6_TEXT

Sexual Orientation - Prefer to self-describe - Text

Distribution

Distribution of values for Sexori_6_TEXT

Distribution of values for Sexori_6_TEXT

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
Sexori_6_TEXT Sexual Orientation - Prefer to self-describe - Text character 0 1 3 406 0 8 0 A255 0

T1_Heart_1

T1 Heart

Distribution

Distribution of values for T1_Heart_1

Distribution of values for T1_Heart_1

3 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
T1_Heart_1 T1 Heart numeric 3 0.9926471 1 7 9 6.51358 1.857001 <U+2581><U+2583><U+2582><U+2587><U+2586> F40.2 0

T1_Valence_1

T1 Valence

Distribution

Distribution of values for T1_Valence_1

Distribution of values for T1_Valence_1

4 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
T1_Valence_1 T1 Valence numeric 4 0.9901961 1 6 9 6.10396 1.858275 <U+2581><U+2583><U+2582><U+2587><U+2585> F40.2 0

T1_Arousal_1

T1 Arousal

Distribution

Distribution of values for T1_Arousal_1

Distribution of values for T1_Arousal_1

4 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
T1_Arousal_1 T1 Arousal numeric 4 0.9901961 1 4 9 4.287129 1.761663 <U+2582><U+2587><U+2582><U+2585><U+2581> F40.2 0

T1_Dominance_1

T1 Dominance

Distribution

Distribution of values for T1_Dominance_1

Distribution of values for T1_Dominance_1

5 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
T1_Dominance_1 T1 Dominance numeric 5 0.9877451 1 6 9 6.059553 1.657615 <U+2581><U+2582><U+2583><U+2587><U+2583> F40.2 0

Rejection_Essay

Write about a time you felt rejected by a close other

Distribution

Distribution of values for Rejection_Essay

Distribution of values for Rejection_Essay

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
Rejection_Essay Write about a time you felt rejected by a close other character 0 1 402 7 0 1999 0 A255 0

Rejection_Timer_First_Click

Timing - First Click

Distribution

Distribution of values for Rejection_Timer_First_Click

Distribution of values for Rejection_Timer_First_Click

7 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
Rejection_Timer_First_Click Timing - First Click numeric 7 0.9828431 0.81 37 1166 63.21828 108.6172 <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0

Rejection_Timer_Last_Click

Timing - Last Click

Distribution

Distribution of values for Rejection_Timer_Last_Click

Distribution of values for Rejection_Timer_Last_Click

7 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
Rejection_Timer_Last_Click Timing - Last Click numeric 7 0.9828431 2.1 181 1515 187.1937 175.3275 <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0

Rejection_Timer_Page_Submit

Timing - Page Submit

Distribution

Distribution of values for Rejection_Timer_Page_Submit

Distribution of values for Rejection_Timer_Page_Submit

7 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
Rejection_Timer_Page_Submit Timing - Page Submit numeric 7 0.9828431 144 231 7966 297.2863 413.0481 <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0

Rejection_Timer_Click_Count

Timing - Click Count

Distribution

Distribution of values for Rejection_Timer_Click_Count

Distribution of values for Rejection_Timer_Click_Count

7 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
Rejection_Timer_Click_Count Timing - Click Count numeric 7 0.9828431 2 5 96 7.052369 8.629296 <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0

RPG_Timer_First_Click

Timing - First Click

Distribution

Distribution of values for RPG_Timer_First_Click

Distribution of values for RPG_Timer_First_Click

34 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
RPG_Timer_First_Click Timing - First Click numeric 34 0.9166667 1.9 1066 4428 987.364 715.6473 <U+2587><U+2587><U+2582><U+2581><U+2581> F40.2 0

RPG_Timer_Last_Click

Timing - Last Click

Distribution

Distribution of values for RPG_Timer_Last_Click

Distribution of values for RPG_Timer_Last_Click

34 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
RPG_Timer_Last_Click Timing - Last Click numeric 34 0.9166667 5.6 1443 9751 1584.341 722.1049 <U+2587><U+2582><U+2581><U+2581><U+2581> F40.2 0

RPG_Timer_Page_Submit

Timing - Page Submit

Distribution

Distribution of values for RPG_Timer_Page_Submit

Distribution of values for RPG_Timer_Page_Submit

34 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
RPG_Timer_Page_Submit Timing - Page Submit numeric 34 0.9166667 16 1452 9752 1591.77 721.935 <U+2587><U+2582><U+2581><U+2581><U+2581> F40.2 0

RPG_Timer_Click_Count

Timing - Click Count

Distribution

Distribution of values for RPG_Timer_Click_Count

Distribution of values for RPG_Timer_Click_Count

34 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
RPG_Timer_Click_Count Timing - Click Count numeric 34 0.9166667 1 2 49 3.28877 4.688933 <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0

Game_Code_HH

After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.

Distribution

Distribution of values for Game_Code_HH

Distribution of values for Game_Code_HH

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
Game_Code_HH After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button. character 0 1 3 312 0 7 0 A255 0

Game_Code_HL

After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.

Distribution

Distribution of values for Game_Code_HL

Distribution of values for Game_Code_HL

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
Game_Code_HL After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button. character 0 1 2 315 0 6 0 A255 0

Game_Code_LH

After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.

Distribution

Distribution of values for Game_Code_LH

Distribution of values for Game_Code_LH

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
Game_Code_LH After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button. character 0 1 3 316 0 7 0 A255 0

Game_Code_LL

After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.

Distribution

Distribution of values for Game_Code_LL

Distribution of values for Game_Code_LL

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
Game_Code_LL After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button. character 0 1 2 315 0 6 0 A255 0

T2_Heart_1

T2 Heart

Distribution

Distribution of values for T2_Heart_1

Distribution of values for T2_Heart_1

34 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
T2_Heart_1 T2 Heart numeric 34 0.9166667 1 6 9 6.200535 1.892528 <U+2581><U+2583><U+2583><U+2587><U+2586> F40.2 0

T2_Valence_1

T2 Valence

Distribution

Distribution of values for T2_Valence_1

Distribution of values for T2_Valence_1

34 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
T2_Valence_1 T2 Valence numeric 34 0.9166667 1 6 9 5.703209 2.336364 <U+2583><U+2585><U+2582><U+2587><U+2586> F40.2 0

T2_Arousal_1

T2 Arousal

Distribution

Distribution of values for T2_Arousal_1

Distribution of values for T2_Arousal_1

34 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
T2_Arousal_1 T2 Arousal numeric 34 0.9166667 1 5 9 5.069519 1.978566 <U+2582><U+2586><U+2583><U+2587><U+2582> F40.2 0

T2_Dominance_1

T2 Dominance

Distribution

Distribution of values for T2_Dominance_1

Distribution of values for T2_Dominance_1

35 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
T2_Dominance_1 T2 Dominance numeric 35 0.9142157 1 6 9 6.235925 1.734562 <U+2581><U+2582><U+2582><U+2587><U+2585> F40.2 0

Interact_with_NPC

Did you interact with NPCs?

Distribution

Distribution of values for Interact_with_NPC

Distribution of values for Interact_with_NPC

34 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Interact_with_NPC Did you interact with NPCs? haven_labelled 34 0.9166667 1 1 2 1.187166 0.390567 2 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2582> F40.0 0

Value labels

Response choices
name value
Yes 1
No 2

Most_Close

Who did you feel close to? - Selected Choice

Distribution

Distribution of values for Most_Close

Distribution of values for Most_Close

104 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Most_Close Who did you feel close to? - Selected Choice haven_labelled 104 0.745098 1 3 6 2.526316 1.486784 6 <U+2587><U+2582><U+2581><U+2586><U+2583><U+2581><U+2581><U+2581> F40.0 0

Value labels

Response choices
name value
Sashu 1
Grandkid 2
Elder 3
Tenkeisei 4
Mother 5
Other (please specify) 6

Most_Close_6_TEXT

Who did you feel close to? - Other (please specify) - Text

Distribution

Distribution of values for Most_Close_6_TEXT

Distribution of values for Most_Close_6_TEXT

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
Most_Close_6_TEXT Who did you feel close to? - Other (please specify) - Text character 0 1 16 393 0 148 0 A255 0

IOS

IOS

Distribution

Distribution of values for IOS

Distribution of values for IOS

104 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
IOS IOS haven_labelled 104 0.745098 0 3 6 2.838816 1.634106 7 <U+2582><U+2586><U+2585><U+2587><U+2581><U+2586><U+2583><U+2582> F40.0 0

Value labels

Response choices
name value
0 0
1 1
2 2
3 3
4 4
5 5
6 6

Single_Immersion

While playing the game, I felt completely immersed.

Distribution

Distribution of values for Single_Immersion

Distribution of values for Single_Immersion

34 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Single_Immersion While playing the game, I felt completely immersed. haven_labelled 34 0.9166667 -3 1 3 0.2994652 1.80887 7 <U+2583><U+2583><U+2583><U+2583><U+2581><U+2587><U+2586><U+2582> F40.0 0

Value labels

Response choices
name value
Strongly disagree -3 -3
-2 -2
-1 -1
0 0
1 1
2 2
Strongly agree 3 3

Attention_Rejection

What did you write in the first essay?

Distribution

Distribution of values for Attention_Rejection

Distribution of values for Attention_Rejection

34 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Attention_Rejection What did you write in the first essay? haven_labelled 34 0.9166667 1 1 2 1.034759 0.1834151 3 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581> F40.0 0

Value labels

Response choices
name value
about a time I felt rejected 1
about a time I felt accepted 2
about my morning yesterday 3

Attention_Sashu

Who was the NPC

Distribution

Distribution of values for Attention_Sashu

Distribution of values for Attention_Sashu

34 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Attention_Sashu Who was the NPC haven_labelled 34 0.9166667 1 1 3 1.887701 0.9537332 3 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2586> F40.0 0

Value labels

Response choices
name value
Sashu 1
Akiko 2
None—I did not see any non-player character who followed me throughout the game 3

Attention_Story

What was the story that best represented the game you played?

Distribution

Distribution of values for Attention_Story

Distribution of values for Attention_Story

34 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Attention_Story What was the story that best represented the game you played? haven_labelled 34 0.9166667 1 1 3 1.901069 0.9950812 3 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2586> F40.0 0

Value labels

Response choices
name value
Higra answered the emperor’s call and became a Samga, fighting for good, defeating the evil boss and reuniting with her mother at the end 1
Higra prepared a special dish for grandma’s birthday 2
Higra battled evil bosses throughout the game, eventually winning, but did not reunite with her mother at the end. 3

Study_Purpose

Did you wonder about the purposes?

Distribution

Distribution of values for Study_Purpose

Distribution of values for Study_Purpose

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
Study_Purpose Did you wonder about the purposes? character 0 1 346 53 0 485 0 A255 0

Share_Anything

Is there anything you’d like to share?

Distribution

Distribution of values for Share_Anything

Distribution of values for Share_Anything

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
Share_Anything Is there anything you’d like to share? character 0 1 219 111 0 586 0 A255 0

Raffle_PC

Who was the player character?

Distribution

Distribution of values for Raffle_PC

Distribution of values for Raffle_PC

38 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Raffle_PC Who was the player character? haven_labelled 38 0.9068627 1 1 3 1.018919 0.1550205 3 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581> F40.0 0

Value labels

Response choices
name value
Higra 1
Sashu 2
Elder 3

Raffle_Enemies

What were the names of the enemies that you were fighting against?

Distribution

Distribution of values for Raffle_Enemies

Distribution of values for Raffle_Enemies

34 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
Raffle_Enemies What were the names of the enemies that you were fighting against? haven_labelled 34 0.9166667 1 1 3 1.02139 0.1780809 3 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581> F40.0 0

Value labels

Response choices
name value
Ekishin and Gakis 1
Dragon and Lizard 2
Finch and Elliot 3

id

id

Distribution

Distribution of values for id

Distribution of values for id

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
id id character 0 1 394 0 5 6 0 A255 0

t_generalInstructions_submit

t_generalInstructions_submit

Distribution

Distribution of values for t_generalInstructions_submit

Distribution of values for t_generalInstructions_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_generalInstructions_submit t_generalInstructions_submit character 0 1 408 0 24 24 0 A255 0

t_age_submit

t_age_submit

Distribution

Distribution of values for t_age_submit

Distribution of values for t_age_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_age_submit t_age_submit character 0 1 407 2 0 24 0 A255 0

t_race_submit

t_race_submit

Distribution

Distribution of values for t_race_submit

Distribution of values for t_race_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_race_submit t_race_submit character 0 1 407 2 0 24 0 A255 0

t_hispanic_submit

t_hispanic_submit

Distribution

Distribution of values for t_hispanic_submit

Distribution of values for t_hispanic_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_hispanic_submit t_hispanic_submit character 0 1 407 2 0 24 0 A255 0

t_relationship_submit

t_relationship_submit

Distribution

Distribution of values for t_relationship_submit

Distribution of values for t_relationship_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_relationship_submit t_relationship_submit character 0 1 407 2 0 24 0 A255 0

t_gender_submit

t_gender_submit

Distribution

Distribution of values for t_gender_submit

Distribution of values for t_gender_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_gender_submit t_gender_submit character 0 1 407 2 0 24 0 A255 0

t_sexori_submit

t_sexori_submit

Distribution

Distribution of values for t_sexori_submit

Distribution of values for t_sexori_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_sexori_submit t_sexori_submit character 0 1 406 3 0 24 0 A255 0

t_T1Heart_submit

t_T1Heart_submit

Distribution

Distribution of values for t_T1Heart_submit

Distribution of values for t_T1Heart_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_T1Heart_submit t_T1Heart_submit character 0 1 406 3 0 24 0 A255 0

t_T1Valence_submit

t_T1Valence_submit

Distribution

Distribution of values for t_T1Valence_submit

Distribution of values for t_T1Valence_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_T1Valence_submit t_T1Valence_submit character 0 1 405 4 0 24 0 A255 0

t_T1Arousal_submit

t_T1Arousal_submit

Distribution

Distribution of values for t_T1Arousal_submit

Distribution of values for t_T1Arousal_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_T1Arousal_submit t_T1Arousal_submit character 0 1 405 4 0 24 0 A255 0

t_T1Dominance_submit

t_T1Dominance_submit

Distribution

Distribution of values for t_T1Dominance_submit

Distribution of values for t_T1Dominance_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_T1Dominance_submit t_T1Dominance_submit character 0 1 405 4 0 24 0 A255 0

t_rejectionEssayIntro_submit

t_rejectionEssayIntro_submit

Distribution

Distribution of values for t_rejectionEssayIntro_submit

Distribution of values for t_rejectionEssayIntro_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_rejectionEssayIntro_submit t_rejectionEssayIntro_submit character 0 1 403 6 0 24 0 A255 0

t_rejectionEssay_submit

t_rejectionEssay_submit

Distribution

Distribution of values for t_rejectionEssay_submit

Distribution of values for t_rejectionEssay_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_rejectionEssay_submit t_rejectionEssay_submit character 0 1 402 7 0 24 0 A255 0

t_RPGinst_submit

t_RPGinst_submit

Distribution

Distribution of values for t_RPGinst_submit

Distribution of values for t_RPGinst_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_RPGinst_submit t_RPGinst_submit character 0 1 388 21 0 24 0 A255 0

t_RPGplay_submit

t_RPGplay_submit

Distribution

Distribution of values for t_RPGplay_submit

Distribution of values for t_RPGplay_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_RPGplay_submit t_RPGplay_submit character 0 1 380 29 0 24 0 A255 0

t_T2Heart_submit

t_T2Heart_submit

Distribution

Distribution of values for t_T2Heart_submit

Distribution of values for t_T2Heart_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_T2Heart_submit t_T2Heart_submit character 0 1 375 34 0 24 0 A255 0

t_T2Valence_submit

t_T2Valence_submit

Distribution

Distribution of values for t_T2Valence_submit

Distribution of values for t_T2Valence_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_T2Valence_submit t_T2Valence_submit character 0 1 375 34 0 24 0 A255 0

t_T2Arousal_submit

t_T2Arousal_submit

Distribution

Distribution of values for t_T2Arousal_submit

Distribution of values for t_T2Arousal_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_T2Arousal_submit t_T2Arousal_submit character 0 1 375 34 0 24 0 A255 0

t_T2Dominance_submit

t_T2Dominance_submit

Distribution

Distribution of values for t_T2Dominance_submit

Distribution of values for t_T2Dominance_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_T2Dominance_submit t_T2Dominance_submit character 0 1 375 34 0 24 0 A255 0

t_intractCharacters_submit

t_intractCharacters_submit

Distribution

Distribution of values for t_intractCharacters_submit

Distribution of values for t_intractCharacters_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_intractCharacters_submit t_intractCharacters_submit character 0 1 375 34 0 24 0 A255 0

t_closestCharacter_submit

t_closestCharacter_submit

Distribution

Distribution of values for t_closestCharacter_submit

Distribution of values for t_closestCharacter_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_closestCharacter_submit t_closestCharacter_submit character 0 1 306 103 0 24 0 A255 0

t_IOS_submit

t_IOS_submit

Distribution

Distribution of values for t_IOS_submit

Distribution of values for t_IOS_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_IOS_submit t_IOS_submit character 0 1 305 104 0 24 0 A255 0

t_PSI_submit

t_PSI_submit

Distribution

Distribution of values for t_PSI_submit

Distribution of values for t_PSI_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_PSI_submit t_PSI_submit character 0 1 1 408 0 0 0 A255 0

t_singleImmersion_submit

t_singleImmersion_submit

Distribution

Distribution of values for t_singleImmersion_submit

Distribution of values for t_singleImmersion_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_singleImmersion_submit t_singleImmersion_submit character 0 1 375 34 0 24 0 A255 0

t_narrativeEngagement_submit

t_narrativeEngagement_submit

Distribution

Distribution of values for t_narrativeEngagement_submit

Distribution of values for t_narrativeEngagement_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_narrativeEngagement_submit t_narrativeEngagement_submit character 0 1 1 408 0 0 0 A255 0

t_otfSocialWorld_submit

t_otfSocialWorld_submit

Distribution

Distribution of values for t_otfSocialWorld_submit

Distribution of values for t_otfSocialWorld_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_otfSocialWorld_submit t_otfSocialWorld_submit character 0 1 375 34 0 24 0 A255 0

t_enjoyment_submit

t_enjoyment_submit

Distribution

Distribution of values for t_enjoyment_submit

Distribution of values for t_enjoyment_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_enjoyment_submit t_enjoyment_submit character 0 1 373 36 0 24 0 A255 0

t_PCidentification_submit

t_PCidentification_submit

Distribution

Distribution of values for t_PCidentification_submit

Distribution of values for t_PCidentification_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_PCidentification_submit t_PCidentification_submit character 0 1 375 34 0 24 0 A255 0

t_almostDone_submit

t_almostDone_submit

Distribution

Distribution of values for t_almostDone_submit

Distribution of values for t_almostDone_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_almostDone_submit t_almostDone_submit character 0 1 375 34 0 24 0 A255 0

t_attentionRejection_submit

t_attentionRejection_submit

Distribution

Distribution of values for t_attentionRejection_submit

Distribution of values for t_attentionRejection_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_attentionRejection_submit t_attentionRejection_submit character 0 1 375 34 0 24 0 A255 0

t_attentionSashu_submit

t_attentionSashu_submit

Distribution

Distribution of values for t_attentionSashu_submit

Distribution of values for t_attentionSashu_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_attentionSashu_submit t_attentionSashu_submit character 0 1 375 34 0 24 0 A255 0

t_attentionStory_submit

t_attentionStory_submit

Distribution

Distribution of values for t_attentionStory_submit

Distribution of values for t_attentionStory_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_attentionStory_submit t_attentionStory_submit character 0 1 375 34 0 24 0 A255 0

t_studyPurpose_submit

t_studyPurpose_submit

Distribution

Distribution of values for t_studyPurpose_submit

Distribution of values for t_studyPurpose_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_studyPurpose_submit t_studyPurpose_submit character 0 1 375 34 0 24 0 A255 0

t_shareAnything_submit

t_shareAnything_submit

Distribution

Distribution of values for t_shareAnything_submit

Distribution of values for t_shareAnything_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_shareAnything_submit t_shareAnything_submit character 0 1 375 34 0 24 0 A255 0

t_raffle_submit

t_raffle_submit

Distribution

Distribution of values for t_raffle_submit

Distribution of values for t_raffle_submit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
t_raffle_submit t_raffle_submit character 0 1 1 408 0 0 0 A255 0

attention_rejection_correct

Distribution

Distribution of values for attention_rejection_correct

Distribution of values for attention_rejection_correct

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
attention_rejection_correct logical 0 1 TRU: 361, FAL: 47 0.8848039 NA

attention_parasocial_correct

Distribution

Distribution of values for attention_parasocial_correct

Distribution of values for attention_parasocial_correct

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
attention_parasocial_correct logical 0 1 TRU: 324, FAL: 84 0.7941176 NA

attention_social_world_correct

Distribution

Distribution of values for attention_social_world_correct

Distribution of values for attention_social_world_correct

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
attention_social_world_correct logical 0 1 TRU: 329, FAL: 79 0.8063725 NA

attention_all_correct

Distribution

Distribution of values for attention_all_correct

Distribution of values for attention_all_correct

0 missing values.

Summary statistics

name data_type n_missing complete_rate count mean label
attention_all_correct logical 0 1 TRU: 285, FAL: 123 0.6985294 NA

parasocial

Distribution

Distribution of values for parasocial

Distribution of values for parasocial

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
parasocial character 0 1 2 0 14 15 0 NA

social_world

Distribution

Distribution of values for social_world

Distribution of values for social_world

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
social_world character 0 1 2 0 16 17 0 NA

debug

debug

Distribution

Distribution of values for debug

Distribution of values for debug

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
debug debug character 0 1 1 408 0 0 0 A255 0

mobile

mobile

Distribution

Distribution of values for mobile

Distribution of values for mobile

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
mobile mobile character 0 1 1 0 2 2 0 A255 0

raffle_all_correct

raffle_all_correct

Distribution

Distribution of values for raffle_all_correct

Distribution of values for raffle_all_correct

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace format.spss display_width
raffle_all_correct raffle_all_correct character 0 1 3 34 0 5 0 A255 0

Scale: OTF_Social_World

Overview

Reliability: .

Missing: 43.

Likert plot of scale OTF_Social_World items

Likert plot of scale OTF_Social_World items

Distribution of scale OTF_Social_World

Distribution of scale OTF_Social_World

Reliability details

## No viewer found, probably documenting or testing

Scale diagnosis
Reliability (internal consistency) estimates
Scale structure
Information about this scale
Dataframe: res$dat
Items: OTF_Social_World_1, OTF_Social_World_2, OTF_Social_World_3 & OTF_Social_World_4
Observations: 365
Positive correlations: 6
Number of correlations: 6
Percentage positive correlations: 100
Estimates assuming interval level
Omega (total): 0.88
Omega (hierarchical): 0.84
Revelle’s Omega (total): 0.88
Greatest Lower Bound (GLB): 0.87
Coefficient H: 0.89
Coefficient Alpha: 0.86

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.842, 0.551, 0.357 & 0.249

Factor analysis (reproducing only shared variance)
ML1
OTF_Social_World_1 0.866
OTF_Social_World_2 0.854
OTF_Social_World_3 0.783
OTF_Social_World_4 0.625
Component analysis (reproducing full covariance matrix)
PC1
OTF_Social_World_1 0.882
OTF_Social_World_2 0.877
OTF_Social_World_3 0.856
OTF_Social_World_4 0.750
Item descriptives
mean median var sd IQR se min q1 q3 max skew kurt dip n NA valid
OTF_Social_World_1 -0.0767 0 3.0765 1.754 2 0.0918 -3 -2 1 3 -0.1741 -0.9552 0.0849 365 0 365
OTF_Social_World_2 -0.5178 0 3.168 1.7799 3 0.0932 -3 -2 1 3 0.0896 -1.0878 0.0973 365 0 365
OTF_Social_World_3 0.3178 1 3.0526 1.7472 2 0.0915 -3 -1 2 3 -0.4046 -0.7338 0.0726 365 0 365
OTF_Social_World_4 -0.3945 0 3.3494 1.8301 3 0.0958 -3 -2 1 3 0.1412 -1.0594 0.0836 365 0 365
Scattermatrix
Scatterplot

Scatterplot


## No viewer found, probably documenting or testing

Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
OTF_Social_World_1 OTF Social World - The video game presented stories that I immersed myself in haven_labelled -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
35 0.9142157 -3 0 3 -0.0536193 1.745137 7 <U+2583><U+2583><U+2585><U+2586><U+2581><U+2587><U+2585><U+2582> F40.0 0
OTF_Social_World_2 OTF Social World - The video game presented another social world where I felt like I belonged haven_labelled -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
37 0.9093137 -3 0 3 -0.4959569 1.778812 7 <U+2587><U+2586><U+2586><U+2587><U+2581><U+2587><U+2585><U+2582> F40.0 0
OTF_Social_World_3 OTF Social World - The video game had a social narrative that told an engaging story haven_labelled -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
42 0.8970588 -3 1 3 0.3224044 1.746979 7 <U+2582><U+2582><U+2583><U+2583><U+2581><U+2587><U+2583><U+2582> F40.0 0
OTF_Social_World_4 OTF Social World - I found myself getting “lost” in the game’s story haven_labelled -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
42 0.8970588 -3 0 3 -0.3989071 1.829559 7 <U+2587><U+2587><U+2587><U+2587><U+2581><U+2587><U+2585><U+2583> F40.0 0

Scale: PC_Identification

Overview

Reliability: .

Missing: 68.

Likert plot of scale PC_Identification items

Likert plot of scale PC_Identification items

Distribution of scale PC_Identification

Distribution of scale PC_Identification

Reliability details

## No viewer found, probably documenting or testing

Scale diagnosis
Reliability (internal consistency) estimates
Scale structure
Information about this scale
Dataframe: res$dat
Items: PC_Identification_1, PC_Identification_2, PC_Identification_3, PC_Identification_4, PC_Identification_5 & PC_Identification_6
Observations: 340
Positive correlations: 15
Number of correlations: 15
Percentage positive correlations: 100
Estimates assuming interval level
Omega (total): 0.97
Omega (hierarchical): 0.91
Revelle’s Omega (total): 0.97
Greatest Lower Bound (GLB): 0.97
Coefficient H: 0.95
Coefficient Alpha: 0.95

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

4.813, 0.353, 0.3, 0.212, 0.184 & 0.139

Factor analysis (reproducing only shared variance)
ML1
PC_Identification_1 0.835
PC_Identification_2 0.855
PC_Identification_3 0.899
PC_Identification_4 0.858
PC_Identification_5 0.915
PC_Identification_6 0.876
Component analysis (reproducing full covariance matrix)
PC1
PC_Identification_1 0.869
PC_Identification_2 0.887
PC_Identification_3 0.916
PC_Identification_4 0.882
PC_Identification_5 0.923
PC_Identification_6 0.895
Item descriptives
mean median var sd IQR se min q1 q3 max skew kurt dip n NA valid
PC_Identification_1 -0.7647 -1 1.207 1.0986 2 0.0596 -2 -2 0 2 0.4492 -0.7636 0.1338 340 0 340
PC_Identification_2 -0.9529 -1 1.042 1.0208 2 0.0554 -2 -2 0 2 0.6754 -0.3286 0.1529 340 0 340
PC_Identification_3 -0.7588 -1 1.2514 1.1187 2 0.0607 -2 -2 0 2 0.5051 -0.8316 0.1559 340 0 340
PC_Identification_4 -0.9294 -1 1.1749 1.0839 2 0.0588 -2 -2 0 2 0.7538 -0.3456 0.1529 340 0 340
PC_Identification_5 -0.8176 -1 1.1761 1.0845 2 0.0588 -2 -2 0 2 0.5393 -0.6715 0.1485 340 0 340
PC_Identification_6 -0.9441 -1 1.0736 1.0361 2 0.0562 -2 -2 0 2 0.7521 -0.132 0.1603 340 0 340
Scattermatrix
Scatterplot

Scatterplot


## No viewer found, probably documenting or testing

Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
PC_Identification_1 PCI - My character was like me in many ways haven_labelled -2. -2 Strongly disagree,
-1. -1,
0. 0,
1. 1,
2. 2 Strongly agree
34 0.9166667 -2 -1 2 -0.7566845 1.106716 5 <U+2587><U+2586><U+2581><U+2586><U+2581><U+2583><U+2581><U+2581> F40.0 0
PC_Identification_2 PCI - My character resembled me haven_labelled -2. -2 Strongly disagree,
-1. -1,
0. 0,
1. 1,
2. 2 Strongly agree
57 0.8602941 -2 -1 2 -0.9572650 1.020307 5 <U+2587><U+2586><U+2581><U+2585><U+2581><U+2582><U+2581><U+2581> F40.0 0
PC_Identification_3 PCI - I identified with my character haven_labelled -2. -2 Strongly disagree,
-1. -1,
0. 0,
1. 1,
2. 2 Strongly agree
62 0.8480392 -2 -1 2 -0.7658960 1.116461 5 <U+2587><U+2587><U+2581><U+2585><U+2581><U+2583><U+2581><U+2581> F40.0 0
PC_Identification_4 PCI - My character was an extension of myself haven_labelled -2. -2 Strongly disagree,
-1. -1,
0. 0,
1. 1,
2. 2 Strongly agree
62 0.8480392 -2 -1 2 -0.9306358 1.082583 5 <U+2587><U+2586><U+2581><U+2583><U+2581><U+2582><U+2581><U+2581> F40.0 0
PC_Identification_5 PCI - My character was similar to me haven_labelled -2. -2 Strongly disagree,
-1. -1,
0. 0,
1. 1,
2. 2 Strongly agree
61 0.8504902 -2 -1 2 -0.8184438 1.085322 5 <U+2587><U+2587><U+2581><U+2586><U+2581><U+2583><U+2581><U+2581> F40.0 0
PC_Identification_6 PCI - I resembled my character haven_labelled -2. -2 Strongly disagree,
-1. -1,
0. 0,
1. 1,
2. 2 Strongly agree
66 0.8382353 -2 -1 2 -0.9473684 1.034667 5 <U+2587><U+2587><U+2581><U+2585><U+2581><U+2582><U+2581><U+2581> F40.0 0

Scale: Enjoyment

Overview

Reliability: .

Missing: 38.

Likert plot of scale Enjoyment items

Likert plot of scale Enjoyment items

Distribution of scale Enjoyment

Distribution of scale Enjoyment

Reliability details

## No viewer found, probably documenting or testing

Scale diagnosis
Reliability (internal consistency) estimates
Scale structure
Information about this scale
Dataframe: res$dat
Items: enjoyment_1, enjoyment_2, enjoyment_3R, enjoyment_4 & enjoyment_5
Observations: 370
Positive correlations: 10
Number of correlations: 10
Percentage positive correlations: 100
Estimates assuming interval level
Omega (total): 0.95
Omega (hierarchical): 0.86
Revelle’s Omega (total): 0.95
Greatest Lower Bound (GLB): 0.96
Coefficient H: 0.97
Coefficient Alpha: 0.93

(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

3.909, 0.427, 0.422, 0.179 & 0.063

Factor analysis (reproducing only shared variance)
ML1
enjoyment_1 0.959
enjoyment_2 0.969
enjoyment_3R 0.700
enjoyment_4 0.780
enjoyment_5 0.768
Component analysis (reproducing full covariance matrix)
PC1
enjoyment_1 0.917
enjoyment_2 0.925
enjoyment_3R 0.804
enjoyment_4 0.889
enjoyment_5 0.880
Item descriptives
mean median var sd IQR se min q1 q3 max skew kurt dip n NA valid
enjoyment_1 0.3649 1 3.6362 1.9069 3 0.0991 -3 -1 2 3 -0.3897 -0.9529 0.0824 370 0 370
enjoyment_2 0.3757 1 3.6878 1.9204 3 0.0998 -3 -1 2 3 -0.3918 -0.962 0.0838 370 0 370
enjoyment_3R -0.3946 -1 3.3723 1.8364 3 0.0955 -3 -2 1 3 0.2164 -1.0465 0.0851 370 0 370
enjoyment_4 -0.8757 -1 2.8951 1.7015 2 0.0885 -3 -3 1 3 0.3224 -0.867 0.1014 370 0 370
enjoyment_5 -1.1108 -1 3.2208 1.7946 3 0.0933 -3 -3 1 3 0.5858 -0.7749 0.0824 370 0 370
Scattermatrix
Scatterplot

Scatterplot


## No viewer found, probably documenting or testing

Summary statistics

name label data_type value_labels n_missing complete_rate min median max mean sd n_value_labels hist format.spss display_width
enjoyment_1 Enjoyment - I think the game was fun. haven_labelled -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
37 0.9093137 -3 1 3 0.3719677 1.909201 7 <U+2583><U+2583><U+2583><U+2583><U+2581><U+2587><U+2585><U+2585> F40.0 0
enjoyment_2 Enjoyment - I enjoyed playing the game. haven_labelled -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
38 0.9068627 -3 1 3 0.3756757 1.920352 7 <U+2585><U+2583><U+2583><U+2585><U+2581><U+2587><U+2586><U+2585> F40.0 0
enjoyment_3R Enjoyment - I felt bored while playing the game. haven_labelled 3. -3 Strongly disagree,
2. -2,
1. -1,
0. 0,
-1. 1,
-2. 2,
-3. 3 Strongly agree
38 0.9068627 -3 -1 3 -0.3945946 1.836390 7 <U+2586><U+2587><U+2587><U+2586><U+2581><U+2586><U+2585><U+2583> F40.0 0
enjoyment_4 Enjoyment - I am likely to recommend this game to others. haven_labelled -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
38 0.9068627 -3 -1 3 -0.8756757 1.701491 7 <U+2587><U+2585><U+2586><U+2586><U+2581><U+2585><U+2582><U+2581> F40.0 0
enjoyment_5 Enjoyment - If given the chance, I want to play this game again. haven_labelled -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
37 0.9093137 -3 -1 3 -1.0997305 1.804881 7 <U+2587><U+2583><U+2583><U+2583><U+2581><U+2582><U+2582><U+2581> F40.0 0

Gender_Identity_3GP

Distribution

Distribution of values for Gender_Identity_3GP

Distribution of values for Gender_Identity_3GP

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
Gender_Identity_3GP character 0 1 3 0 4 6 0 NA

Gender_Identity_2GP_EC

Distribution

Distribution of values for Gender_Identity_2GP_EC

Distribution of values for Gender_Identity_2GP_EC

9 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
Gender_Identity_2GP_EC numeric 9 0.9779412 -0.5 0.5 0.5 0.1591479 0.4745908 <U+2585><U+2581><U+2581><U+2581><U+2587> NA

Race_6GP

Distribution

Distribution of values for Race_6GP

Distribution of values for Race_6GP

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
Race_6GP character 0 1 4 0 5 22 0 NA

parasocial_MC_group

Distribution

Distribution of values for parasocial_MC_group

Distribution of values for parasocial_MC_group

34 missing values.

Summary statistics

name data_type ordered value_labels n_missing complete_rate n_unique top_counts label
parasocial_MC_group factor TRUE 1. No Interaction with NPC,
2. No Parasocial Relationship with NPC,
3. Formed Parasocial Relationship with NPC
34 0.9166667 3 For: 284, No : 70, No : 20 NA

parasocial_EC

Distribution

Distribution of values for parasocial_EC

Distribution of values for parasocial_EC

0 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
parasocial_EC numeric 0 1 -0.5 0.5 0.5 0.002451 0.5006079 <U+2587><U+2581><U+2581><U+2581><U+2587> NA

social_world_EC

Distribution

Distribution of values for social_world_EC

Distribution of values for social_world_EC

0 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
social_world_EC numeric 0 1 -0.5 0 0.5 0 0.5006139 <U+2587><U+2581><U+2581><U+2581><U+2587> NA

Missingness report

Codebook table

name label data_type ordered value_labels scale_item_names n_missing complete_rate n_unique empty top_counts count min median max mean sd whitespace n_value_labels hist format.spss display_width
StartDate Start Date POSIXct NA NA NA 0 1.0000000 407 NA NA NA 2021-03-12 02:21:01 2021-03-19 12:47:07 2021-04-11 23:42:00 NA NA NA NA NA DATETIME20 0
EndDate End Date POSIXct NA NA NA 0 1.0000000 408 NA NA NA 2021-03-12 03:16:15 2021-03-19 14:43:12 2021-04-12 00:29:31 NA NA NA NA NA DATETIME20 0
Status Response Type haven_labelled NA 0. IP Address,
1. Survey Preview,
2. Survey Test,
4. Imported,
8. Spam,
9. Survey Preview Spam,
12. Imported Spam,
16. Offline,
17. Offline Survey Preview,
32. EX,
40. EX Spam,
48. EX Offline
NA 0 1.0000000 NA NA NA NA 0 0 0 0.0000000 0.000000e+00 NA 12 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2581><U+2581><U+2581> F40.0 0
Progress Progress numeric NA NA NA 0 1.0000000 NA NA NA NA 6.00 100.0 1.0e+02 94.2941176 1.907716e+01 NA NA <U+2581><U+2581><U+2581><U+2581><U+2587> F40.2 0
Duration_in_seconds Duration (in seconds) numeric NA NA NA 0 1.0000000 NA NA NA NA 18.00 2300.0 6.1e+05 19431.4730392 7.320415e+04 NA NA <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0
Finished Finished haven_labelled NA 0. False,
1. True
NA 0 1.0000000 NA NA NA NA 0 1 1 0.9166667 2.767247e-01 NA 2 <U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2587> F40.0 0
RecordedDate Recorded Date POSIXct NA NA NA 0 1.0000000 408 NA NA NA 2021-03-12 03:16:16 2021-03-19 20:56:44 2021-04-12 00:29:32 NA NA NA NA NA DATETIME20 0
ResponseId Response ID character NA NA NA 0 1.0000000 408 0 NA NA 17 NA 17 NA NA 0 NA NA A50 0
DistributionChannel Distribution Channel character NA NA NA 0 1.0000000 1 0 NA NA 9 NA 9 NA NA 0 NA NA A255 0
UserLanguage User Language character NA NA NA 0 1.0000000 1 0 NA NA 2 NA 2 NA NA 0 NA NA A255 0
Q_RecaptchaScore Q_RecaptchaScore numeric NA NA NA 2 0.9950980 NA NA NA NA 0.40 1.0 1.0e+00 0.9748768 5.802820e-02 NA NA <U+2581><U+2581><U+2581><U+2581><U+2587> F40.2 0
Age Age numeric NA NA NA 2 0.9950980 NA NA NA NA 18.00 19.0 6.3e+01 19.5714286 4.407465e+00 NA NA <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0
Race NA character NA NA NA 0 1.0000000 22 2 NA NA 0 NA 88 NA NA 0 NA NA NA NA
Race_1 Race - Selected Choice Native American factor FALSE 1. Native American NA 407 0.0024510 1 NA Nat: 1 NA NA NA NA NA NA NA NA NA NA NA
Race_2 Race - Selected Choice Black/African-American factor FALSE 1. Black/African-American NA 378 0.0735294 1 NA Bla: 30 NA NA NA NA NA NA NA NA NA NA NA
Race_3 Race - Selected Choice White factor FALSE 1. White NA 93 0.7720588 1 NA Whi: 315 NA NA NA NA NA NA NA NA NA NA NA
Race_4 Race - Selected Choice Asian factor FALSE 1. Asian NA 343 0.1593137 1 NA Asi: 65 NA NA NA NA NA NA NA NA NA NA NA
Race_5 Race - Selected Choice Pacific Islander factor FALSE 1. Pacific Islander NA 406 0.0049020 1 NA Pac: 2 NA NA NA NA NA NA NA NA NA NA NA
Race_6 Race - Selected Choice Prefer to self-describe factor FALSE 1. Prefer to self-describe NA 394 0.0343137 1 NA Pre: 14 NA NA NA NA NA NA NA NA NA NA NA
Race_6_TEXT Race - Prefer to self-describe - Text factor FALSE 1. ,
2. Ashkenazi Jewish,
3. Chinese,
4. Hispanic,
5. Hispanic/Latino,
6. Jordanian,
7. Latina,
8. Latino,
9. Latino/Latinx/Hispanic,
10. Middle eastern,
11. Middle Eastern,
12. My parents are from Central America but I was born in the U.S.
NA 0 1.0000000 12 NA emp: 394, His: 2, Lat: 2, Mid: 2 NA NA NA NA NA NA NA NA NA NA NA
Hispanic Hispanic haven_labelled NA 1. Yes,
2. No
NA 2 0.9950980 NA NA NA NA 1 2 2 1.9113300 2.846175e-01 NA 2 <U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2587> F40.0 0
Relationship Relationship Status - Selected Choice haven_labelled NA 1. Single—not interested in dating,
2. Single—interested in dating,
3. Dating Casually,
4. Dating Exclusively,
5. Engaged,
6. Married,
7. Other (specify):
NA 2 0.9950980 NA NA NA NA 1 2 7 2.5591133 1.247300e+00 NA 7 <U+2583><U+2587><U+2581><U+2586><U+2581><U+2581><U+2581><U+2581> F40.0 0
Relationship_7_TEXT Relationship Status - Other (specify): - Text character NA NA NA 0 1.0000000 1 408 NA NA 0 NA 0 NA NA 0 NA NA A255 0
Gender_Identity NA character NA NA NA 0 1.0000000 7 2 NA NA 0 NA 34 NA NA 0 NA NA NA NA
Gender_1 Gender - Selected Choice Male factor FALSE 1. Male NA 271 0.3357843 1 NA Mal: 137 NA NA NA NA NA NA NA NA NA NA NA
Gender_2 Gender - Selected Choice Female factor FALSE 1. Female NA 145 0.6446078 1 NA Fem: 263 NA NA NA NA NA NA NA NA NA NA NA
Gender_8 Gender - Selected Choice Nonbinary factor FALSE 1. Nonbinary NA 403 0.0122549 1 NA Non: 5 NA NA NA NA NA NA NA NA NA NA NA
Gender_6 Gender - Selected Choice Unsure factor FALSE 1. Unsure NA 407 0.0024510 1 NA Uns: 1 NA NA NA NA NA NA NA NA NA NA NA
Gender_7 Gender - Selected Choice Prefer to self-describe factor FALSE 1. Prefer to self-describe NA 407 0.0024510 1 NA Pre: 1 NA NA NA NA NA NA NA NA NA NA NA
Gender_7_TEXT Gender - Prefer to self-describe - Text factor FALSE 1. ,
2. Demigirl
NA 0 1.0000000 2 NA emp: 407, Dem: 1 NA NA NA NA NA NA NA NA NA NA NA
Sexori Sexual Orientation - Selected Choice haven_labelled NA 1. Heterosexual,
2. Gay/lesbian,
3. Bisexual,
8. Asexual,
9. Pansexual,
5. Unsure,
6. Prefer to self-describe
NA 3 0.9926471 NA NA NA NA 1 1 9 1.4469136 1.303184e+00 NA 7 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581> F40.0 0
Sexori_6_TEXT Sexual Orientation - Prefer to self-describe - Text character NA NA NA 0 1.0000000 3 406 NA NA 0 NA 8 NA NA 0 NA NA A255 0
T1_Heart_1 T1 Heart numeric NA NA NA 3 0.9926471 NA NA NA NA 1.00 7.0 9.0e+00 6.5135802 1.857001e+00 NA NA <U+2581><U+2583><U+2582><U+2587><U+2586> F40.2 0
T1_Valence_1 T1 Valence numeric NA NA NA 4 0.9901961 NA NA NA NA 1.00 6.0 9.0e+00 6.1039604 1.858275e+00 NA NA <U+2581><U+2583><U+2582><U+2587><U+2585> F40.2 0
T1_Arousal_1 T1 Arousal numeric NA NA NA 4 0.9901961 NA NA NA NA 1.00 4.0 9.0e+00 4.2871287 1.761663e+00 NA NA <U+2582><U+2587><U+2582><U+2585><U+2581> F40.2 0
T1_Dominance_1 T1 Dominance numeric NA NA NA 5 0.9877451 NA NA NA NA 1.00 6.0 9.0e+00 6.0595533 1.657615e+00 NA NA <U+2581><U+2582><U+2583><U+2587><U+2583> F40.2 0
Rejection_Essay Write about a time you felt rejected by a close other character NA NA NA 0 1.0000000 402 7 NA NA 0 NA 1999 NA NA 0 NA NA A255 0
Rejection_Timer_First_Click Timing - First Click numeric NA NA NA 7 0.9828431 NA NA NA NA 0.81 37.4 1.2e+03 63.2182768 1.086172e+02 NA NA <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0
Rejection_Timer_Last_Click Timing - Last Click numeric NA NA NA 7 0.9828431 NA NA NA NA 2.12 180.6 1.5e+03 187.1937307 1.753275e+02 NA NA <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0
Rejection_Timer_Page_Submit Timing - Page Submit numeric NA NA NA 7 0.9828431 NA NA NA NA 144.44 231.4 8.0e+03 297.2862544 4.130481e+02 NA NA <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0
Rejection_Timer_Click_Count Timing - Click Count numeric NA NA NA 7 0.9828431 NA NA NA NA 2.00 5.0 9.6e+01 7.0523691 8.629296e+00 NA NA <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0
RPG_Timer_First_Click Timing - First Click numeric NA NA NA 34 0.9166667 NA NA NA NA 1.94 1066.4 4.4e+03 987.3640107 7.156473e+02 NA NA <U+2587><U+2587><U+2582><U+2581><U+2581> F40.2 0
RPG_Timer_Last_Click Timing - Last Click numeric NA NA NA 34 0.9166667 NA NA NA NA 5.57 1443.2 9.8e+03 1584.3406150 7.221049e+02 NA NA <U+2587><U+2582><U+2581><U+2581><U+2581> F40.2 0
RPG_Timer_Page_Submit Timing - Page Submit numeric NA NA NA 34 0.9166667 NA NA NA NA 16.25 1452.4 9.8e+03 1591.7701658 7.219350e+02 NA NA <U+2587><U+2582><U+2581><U+2581><U+2581> F40.2 0
RPG_Timer_Click_Count Timing - Click Count numeric NA NA NA 34 0.9166667 NA NA NA NA 1.00 2.0 4.9e+01 3.2887701 4.688933e+00 NA NA <U+2587><U+2581><U+2581><U+2581><U+2581> F40.2 0
Game_Code_HH After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button. character NA NA NA 0 1.0000000 3 312 NA NA 0 NA 7 NA NA 0 NA NA A255 0
Game_Code_HL After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button. character NA NA NA 0 1.0000000 2 315 NA NA 0 NA 6 NA NA 0 NA NA A255 0
Game_Code_LH After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button. character NA NA NA 0 1.0000000 3 316 NA NA 0 NA 7 NA NA 0 NA NA A255 0
Game_Code_LL After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button. character NA NA NA 0 1.0000000 2 315 NA NA 0 NA 6 NA NA 0 NA NA A255 0
T2_Heart_1 T2 Heart numeric NA NA NA 34 0.9166667 NA NA NA NA 1.00 6.0 9.0e+00 6.2005348 1.892528e+00 NA NA <U+2581><U+2583><U+2583><U+2587><U+2586> F40.2 0
T2_Valence_1 T2 Valence numeric NA NA NA 34 0.9166667 NA NA NA NA 1.00 6.0 9.0e+00 5.7032086 2.336364e+00 NA NA <U+2583><U+2585><U+2582><U+2587><U+2586> F40.2 0
T2_Arousal_1 T2 Arousal numeric NA NA NA 34 0.9166667 NA NA NA NA 1.00 5.0 9.0e+00 5.0695187 1.978566e+00 NA NA <U+2582><U+2586><U+2583><U+2587><U+2582> F40.2 0
T2_Dominance_1 T2 Dominance numeric NA NA NA 35 0.9142157 NA NA NA NA 1.00 6.0 9.0e+00 6.2359249 1.734562e+00 NA NA <U+2581><U+2582><U+2582><U+2587><U+2585> F40.2 0
Interact_with_NPC Did you interact with NPCs? haven_labelled NA 1. Yes,
2. No
NA 34 0.9166667 NA NA NA NA 1 1 2 1.1871658 3.905670e-01 NA 2 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2582> F40.0 0
Most_Close Who did you feel close to? - Selected Choice haven_labelled NA 1. Sashu,
2. Grandkid,
3. Elder,
4. Tenkeisei,
5. Mother,
6. Other (please specify)
NA 104 0.7450980 NA NA NA NA 1 3 6 2.5263158 1.486784e+00 NA 6 <U+2587><U+2582><U+2581><U+2586><U+2583><U+2581><U+2581><U+2581> F40.0 0
Most_Close_6_TEXT Who did you feel close to? - Other (please specify) - Text character NA NA NA 0 1.0000000 16 393 NA NA 0 NA 148 NA NA 0 NA NA A255 0
IOS IOS haven_labelled NA 0. 0,
1. 1,
2. 2,
3. 3,
4. 4,
5. 5,
6. 6
NA 104 0.7450980 NA NA NA NA 0 3 6 2.8388158 1.634106e+00 NA 7 <U+2582><U+2586><U+2585><U+2587><U+2581><U+2586><U+2583><U+2582> F40.0 0
Single_Immersion While playing the game, I felt completely immersed. haven_labelled NA -3. Strongly disagree -3,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. Strongly agree 3
NA 34 0.9166667 NA NA NA NA -3 1 3 0.2994652 1.808870e+00 NA 7 <U+2583><U+2583><U+2583><U+2583><U+2581><U+2587><U+2586><U+2582> F40.0 0
OTF_Social_World_1 OTF Social World - The video game presented stories that I immersed myself in haven_labelled NA -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
NA 35 0.9142157 NA NA NA NA -3 0 3 -0.0536193 1.745137e+00 NA 7 <U+2583><U+2583><U+2585><U+2586><U+2581><U+2587><U+2585><U+2582> F40.0 0
OTF_Social_World_2 OTF Social World - The video game presented another social world where I felt like I belonged haven_labelled NA -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
NA 37 0.9093137 NA NA NA NA -3 0 3 -0.4959569 1.778812e+00 NA 7 <U+2587><U+2586><U+2586><U+2587><U+2581><U+2587><U+2585><U+2582> F40.0 0
OTF_Social_World_3 OTF Social World - The video game had a social narrative that told an engaging story haven_labelled NA -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
NA 42 0.8970588 NA NA NA NA -3 1 3 0.3224044 1.746979e+00 NA 7 <U+2582><U+2582><U+2583><U+2583><U+2581><U+2587><U+2583><U+2582> F40.0 0
OTF_Social_World_4 OTF Social World - I found myself getting “lost” in the game’s story haven_labelled NA -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
NA 42 0.8970588 NA NA NA NA -3 0 3 -0.3989071 1.829559e+00 NA 7 <U+2587><U+2587><U+2587><U+2587><U+2581><U+2587><U+2585><U+2583> F40.0 0
enjoyment_1 Enjoyment - I think the game was fun. haven_labelled NA -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
NA 37 0.9093137 NA NA NA NA -3 1 3 0.3719677 1.909201e+00 NA 7 <U+2583><U+2583><U+2583><U+2583><U+2581><U+2587><U+2585><U+2585> F40.0 0
enjoyment_2 Enjoyment - I enjoyed playing the game. haven_labelled NA -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
NA 38 0.9068627 NA NA NA NA -3 1 3 0.3756757 1.920352e+00 NA 7 <U+2585><U+2583><U+2583><U+2585><U+2581><U+2587><U+2586><U+2585> F40.0 0
enjoyment_3R Enjoyment - I felt bored while playing the game. haven_labelled NA 3. -3 Strongly disagree,
2. -2,
1. -1,
0. 0,
-1. 1,
-2. 2,
-3. 3 Strongly agree
NA 38 0.9068627 NA NA NA NA -3 -1 3 -0.3945946 1.836390e+00 NA 7 <U+2586><U+2587><U+2587><U+2586><U+2581><U+2586><U+2585><U+2583> F40.0 0
enjoyment_4 Enjoyment - I am likely to recommend this game to others. haven_labelled NA -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
NA 38 0.9068627 NA NA NA NA -3 -1 3 -0.8756757 1.701491e+00 NA 7 <U+2587><U+2585><U+2586><U+2586><U+2581><U+2585><U+2582><U+2581> F40.0 0
enjoyment_5 Enjoyment - If given the chance, I want to play this game again. haven_labelled NA -3. -3 Strongly disagree,
-2. -2,
-1. -1,
0. 0,
1. 1,
2. 2,
3. 3 Strongly agree
NA 37 0.9093137 NA NA NA NA -3 -1 3 -1.0997305 1.804881e+00 NA 7 <U+2587><U+2583><U+2583><U+2583><U+2581><U+2582><U+2582><U+2581> F40.0 0
PC_Identification_1 PCI - My character was like me in many ways haven_labelled NA -2. -2 Strongly disagree,
-1. -1,
0. 0,
1. 1,
2. 2 Strongly agree
NA 34 0.9166667 NA NA NA NA -2 -1 2 -0.7566845 1.106716e+00 NA 5 <U+2587><U+2586><U+2581><U+2586><U+2581><U+2583><U+2581><U+2581> F40.0 0
PC_Identification_2 PCI - My character resembled me haven_labelled NA -2. -2 Strongly disagree,
-1. -1,
0. 0,
1. 1,
2. 2 Strongly agree
NA 57 0.8602941 NA NA NA NA -2 -1 2 -0.9572650 1.020307e+00 NA 5 <U+2587><U+2586><U+2581><U+2585><U+2581><U+2582><U+2581><U+2581> F40.0 0
PC_Identification_3 PCI - I identified with my character haven_labelled NA -2. -2 Strongly disagree,
-1. -1,
0. 0,
1. 1,
2. 2 Strongly agree
NA 62 0.8480392 NA NA NA NA -2 -1 2 -0.7658960 1.116461e+00 NA 5 <U+2587><U+2587><U+2581><U+2585><U+2581><U+2583><U+2581><U+2581> F40.0 0
PC_Identification_4 PCI - My character was an extension of myself haven_labelled NA -2. -2 Strongly disagree,
-1. -1,
0. 0,
1. 1,
2. 2 Strongly agree
NA 62 0.8480392 NA NA NA NA -2 -1 2 -0.9306358 1.082583e+00 NA 5 <U+2587><U+2586><U+2581><U+2583><U+2581><U+2582><U+2581><U+2581> F40.0 0
PC_Identification_5 PCI - My character was similar to me haven_labelled NA -2. -2 Strongly disagree,
-1. -1,
0. 0,
1. 1,
2. 2 Strongly agree
NA 61 0.8504902 NA NA NA NA -2 -1 2 -0.8184438 1.085322e+00 NA 5 <U+2587><U+2587><U+2581><U+2586><U+2581><U+2583><U+2581><U+2581> F40.0 0
PC_Identification_6 PCI - I resembled my character haven_labelled NA -2. -2 Strongly disagree,
-1. -1,
0. 0,
1. 1,
2. 2 Strongly agree
NA 66 0.8382353 NA NA NA NA -2 -1 2 -0.9473684 1.034667e+00 NA 5 <U+2587><U+2587><U+2581><U+2585><U+2581><U+2582><U+2581><U+2581> F40.0 0
Attention_Rejection What did you write in the first essay? haven_labelled NA 1. about a time I felt rejected,
2. about a time I felt accepted,
3. about my morning yesterday
NA 34 0.9166667 NA NA NA NA 1 1 2 1.0347594 1.834151e-01 NA 3 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581> F40.0 0
Attention_Sashu Who was the NPC haven_labelled NA 1. Sashu,
2. Akiko,
3. None—I did not see any non-player character who followed me throughout the game
NA 34 0.9166667 NA NA NA NA 1 1 3 1.8877005 9.537332e-01 NA 3 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2586> F40.0 0
Attention_Story What was the story that best represented the game you played? haven_labelled NA 1. Higra answered the emperor’s call and became a Samga, fighting for good, defeating the evil boss and reuniting with her mother at the end,
2. Higra prepared a special dish for grandma’s birthday,
3. Higra battled evil bosses throughout the game, eventually winning, but did not reunite with her mother at the end.
NA 34 0.9166667 NA NA NA NA 1 1 3 1.9010695 9.950812e-01 NA 3 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2586> F40.0 0
Study_Purpose Did you wonder about the purposes? character NA NA NA 0 1.0000000 346 53 NA NA 0 NA 485 NA NA 0 NA NA A255 0
Share_Anything Is there anything you’d like to share? character NA NA NA 0 1.0000000 219 111 NA NA 0 NA 586 NA NA 0 NA NA A255 0
Raffle_PC Who was the player character? haven_labelled NA 1. Higra,
2. Sashu,
3. Elder
NA 38 0.9068627 NA NA NA NA 1 1 3 1.0189189 1.550205e-01 NA 3 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581> F40.0 0
Raffle_Enemies What were the names of the enemies that you were fighting against? haven_labelled NA 1. Ekishin and Gakis,
2. Dragon and Lizard,
3. Finch and Elliot
NA 34 0.9166667 NA NA NA NA 1 1 3 1.0213904 1.780809e-01 NA 3 <U+2587><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581><U+2581> F40.0 0
id id character NA NA NA 0 1.0000000 394 0 NA NA 5 NA 6 NA NA 0 NA NA A255 0
t_consent_submit t_consent_submit character NA NA NA 0 1.0000000 405 4 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_generalInstructions_submit t_generalInstructions_submit character NA NA NA 0 1.0000000 408 0 NA NA 24 NA 24 NA NA 0 NA NA A255 0
t_age_submit t_age_submit character NA NA NA 0 1.0000000 407 2 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_race_submit t_race_submit character NA NA NA 0 1.0000000 407 2 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_hispanic_submit t_hispanic_submit character NA NA NA 0 1.0000000 407 2 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_relationship_submit t_relationship_submit character NA NA NA 0 1.0000000 407 2 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_gender_submit t_gender_submit character NA NA NA 0 1.0000000 407 2 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_sexori_submit t_sexori_submit character NA NA NA 0 1.0000000 406 3 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_T1Heart_submit t_T1Heart_submit character NA NA NA 0 1.0000000 406 3 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_T1Valence_submit t_T1Valence_submit character NA NA NA 0 1.0000000 405 4 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_T1Arousal_submit t_T1Arousal_submit character NA NA NA 0 1.0000000 405 4 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_T1Dominance_submit t_T1Dominance_submit character NA NA NA 0 1.0000000 405 4 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_rejectionEssayIntro_submit t_rejectionEssayIntro_submit character NA NA NA 0 1.0000000 403 6 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_rejectionEssay_submit t_rejectionEssay_submit character NA NA NA 0 1.0000000 402 7 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_RPGinst_submit t_RPGinst_submit character NA NA NA 0 1.0000000 388 21 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_RPGplay_submit t_RPGplay_submit character NA NA NA 0 1.0000000 380 29 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_T2Heart_submit t_T2Heart_submit character NA NA NA 0 1.0000000 375 34 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_T2Valence_submit t_T2Valence_submit character NA NA NA 0 1.0000000 375 34 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_T2Arousal_submit t_T2Arousal_submit character NA NA NA 0 1.0000000 375 34 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_T2Dominance_submit t_T2Dominance_submit character NA NA NA 0 1.0000000 375 34 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_intractCharacters_submit t_intractCharacters_submit character NA NA NA 0 1.0000000 375 34 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_closestCharacter_submit t_closestCharacter_submit character NA NA NA 0 1.0000000 306 103 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_IOS_submit t_IOS_submit character NA NA NA 0 1.0000000 305 104 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_PSI_submit t_PSI_submit character NA NA NA 0 1.0000000 1 408 NA NA 0 NA 0 NA NA 0 NA NA A255 0
t_singleImmersion_submit t_singleImmersion_submit character NA NA NA 0 1.0000000 375 34 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_narrativeEngagement_submit t_narrativeEngagement_submit character NA NA NA 0 1.0000000 1 408 NA NA 0 NA 0 NA NA 0 NA NA A255 0
t_otfSocialWorld_submit t_otfSocialWorld_submit character NA NA NA 0 1.0000000 375 34 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_enjoyment_submit t_enjoyment_submit character NA NA NA 0 1.0000000 373 36 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_PCidentification_submit t_PCidentification_submit character NA NA NA 0 1.0000000 375 34 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_almostDone_submit t_almostDone_submit character NA NA NA 0 1.0000000 375 34 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_attentionRejection_submit t_attentionRejection_submit character NA NA NA 0 1.0000000 375 34 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_attentionSashu_submit t_attentionSashu_submit character NA NA NA 0 1.0000000 375 34 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_attentionStory_submit t_attentionStory_submit character NA NA NA 0 1.0000000 375 34 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_studyPurpose_submit t_studyPurpose_submit character NA NA NA 0 1.0000000 375 34 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_shareAnything_submit t_shareAnything_submit character NA NA NA 0 1.0000000 375 34 NA NA 0 NA 24 NA NA 0 NA NA A255 0
t_raffle_submit t_raffle_submit character NA NA NA 0 1.0000000 1 408 NA NA 0 NA 0 NA NA 0 NA NA A255 0
attention_rejection_correct NA logical NA NA NA 0 1.0000000 NA NA NA TRU: 361, FAL: 47 NA NA NA 0.8848039 NA NA NA NA NA NA
attention_parasocial_correct NA logical NA NA NA 0 1.0000000 NA NA NA TRU: 324, FAL: 84 NA NA NA 0.7941176 NA NA NA NA NA NA
attention_social_world_correct NA logical NA NA NA 0 1.0000000 NA NA NA TRU: 329, FAL: 79 NA NA NA 0.8063725 NA NA NA NA NA NA
attention_all_correct NA logical NA NA NA 0 1.0000000 NA NA NA TRU: 285, FAL: 123 NA NA NA 0.6985294 NA NA NA NA NA NA
parasocial NA character NA NA NA 0 1.0000000 2 0 NA NA 14 NA 15 NA NA 0 NA NA NA NA
social_world NA character NA NA NA 0 1.0000000 2 0 NA NA 16 NA 17 NA NA 0 NA NA NA NA
debug debug character NA NA NA 0 1.0000000 1 408 NA NA 0 NA 0 NA NA 0 NA NA A255 0
mobile mobile character NA NA NA 0 1.0000000 1 0 NA NA 2 NA 2 NA NA 0 NA NA A255 0
raffle_all_correct raffle_all_correct character NA NA NA 0 1.0000000 3 34 NA NA 0 NA 5 NA NA 0 NA NA A255 0
OTF_Social_World 4 OTF_Social_World items aggregated by rowMeans numeric NA NA OTF_Social_World_1, OTF_Social_World_2, OTF_Social_World_3, OTF_Social_World_4 43 0.8946078 NA NA NA NA -3.00 0.0 3.0e+00 -0.1678082 1.494986e+00 NA NA <U+2585><U+2586><U+2587><U+2586><U+2582> NA NA
PC_Identification 6 PC_Identification items aggregated by rowMeans numeric NA NA PC_Identification_1, PC_Identification_2, PC_Identification_3, PC_Identification_4, PC_Identification_5, PC_Identification_6 68 0.8333333 NA NA NA NA -2.00 -1.0 2.0e+00 -0.8612745 9.616305e-01 NA NA <U+2587><U+2586><U+2585><U+2582><U+2581> NA NA
Enjoyment 5 enjoyment items aggregated by rowMeans numeric NA NA enjoyment_1, enjoyment_2, enjoyment_3R, enjoyment_4, enjoyment_5 38 0.9068627 NA NA NA NA -3.00 -0.4 3.0e+00 -0.3281081 1.619100e+00 NA NA <U+2587><U+2586><U+2587><U+2586><U+2583> NA NA
Gender_Identity_3GP NA character NA NA NA 0 1.0000000 3 0 NA NA 4 NA 6 NA NA 0 NA NA NA NA
Gender_Identity_2GP_EC NA numeric NA NA NA 9 0.9779412 NA NA NA NA -0.50 0.5 5.0e-01 0.1591479 4.745908e-01 NA NA <U+2585><U+2581><U+2581><U+2581><U+2587> NA NA
Race_6GP NA character NA NA NA 0 1.0000000 4 0 NA NA 5 NA 22 NA NA 0 NA NA NA NA
parasocial_MC_group NA factor TRUE 1. No Interaction with NPC,
2. No Parasocial Relationship with NPC,
3. Formed Parasocial Relationship with NPC
NA 34 0.9166667 3 NA For: 284, No : 70, No : 20 NA NA NA NA NA NA NA NA NA NA NA
parasocial_EC NA numeric NA NA NA 0 1.0000000 NA NA NA NA -0.50 0.5 5.0e-01 0.0024510 5.006079e-01 NA NA <U+2587><U+2581><U+2581><U+2581><U+2587> NA NA
social_world_EC NA numeric NA NA NA 0 1.0000000 NA NA NA NA -0.50 0.0 5.0e-01 0.0000000 5.006139e-01 NA NA <U+2587><U+2581><U+2581><U+2581><U+2587> NA NA
JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "Nami Sunami's Dissertation - Study 3",
  "description": "\n\n### Download link\n[Open Science Framework](https://osf.io/XXXXX)\n\n### Preprocessing\nAll rating variables (i.e., actual choice, friendship, short-term relationship etc.) were corrected for prior acquaintance, which means that dates wih prior acquaintance were excluded (set to missing) on a dyadic basis.\n\nVariables are labeled in SPSS. \n\n### A list of important abbreviations, prefixes and suffixes:\n\n* PSI = Parasocial Interaction \n* PC = Player Character\n\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
  "identifier": "https://osf.io/jvk3u/",
  "datePublished": "2015-10-07",
  "creator": {
    "@type": "Person",
    "givenName": "Nami",
    "familyName": "Sunami",
    "email": "naoyuki.sunami@gmail.com",
    "affiliation": {
      "@type": "Organization",
      "name": "University of Delaware, USA"
    }
  },
  "citation": "XXXXXXXXX",
  "url": "https://osf.io/XXXXXXXX/",
  "temporalCoverage": "2021",
  "spatialCoverage": "Delaware, United States\n# Distribution",
  "distribution": [
    {
      "@type": "DataDownload",
      "requiresSubscription": "http://schema.org/True",
      "encodingFormat": "https://www.loc.gov/preservation/digital/formats/fdd/fdd000469.shtml",
      "contentUrl": "https://osf.io/XXXX/download"
    }
  ],
  "keywords": ["StartDate", "EndDate", "Status", "Progress", "Duration__in_seconds_", "Finished", "RecordedDate", "ResponseId", "DistributionChannel", "UserLanguage", "Q_RecaptchaScore", "Age", "Race", "Race_1", "Race_2", "Race_3", "Race_4", "Race_5", "Race_6", "Race_6_TEXT", "Hispanic", "Relationship", "Relationship_7_TEXT", "Gender_Identity", "Gender_1", "Gender_2", "Gender_8", "Gender_6", "Gender_7", "Gender_7_TEXT", "Sexori", "Sexori_6_TEXT", "T1_Heart_1", "T1_Valence_1", "T1_Arousal_1", "T1_Dominance_1", "Rejection_Essay", "Rejection_Timer_First_Click", "Rejection_Timer_Last_Click", "Rejection_Timer_Page_Submit", "Rejection_Timer_Click_Count", "RPG_Timer_First_Click", "RPG_Timer_Last_Click", "RPG_Timer_Page_Submit", "RPG_Timer_Click_Count", "Game_Code_HH", "Game_Code_HL", "Game_Code_LH", "Game_Code_LL", "T2_Heart_1", "T2_Valence_1", "T2_Arousal_1", "T2_Dominance_1", "Interact_with_NPC", "Most_Close", "Most_Close_6_TEXT", "IOS", "Single_Immersion", "OTF_Social_World_1", "OTF_Social_World_2", "OTF_Social_World_3", "OTF_Social_World_4", "enjoyment_1", "enjoyment_2", "enjoyment_3R", "enjoyment_4", "enjoyment_5", "PC_Identification_1", "PC_Identification_2", "PC_Identification_3", "PC_Identification_4", "PC_Identification_5", "PC_Identification_6", "Attention_Rejection", "Attention_Sashu", "Attention_Story", "Study_Purpose", "Share_Anything", "Raffle_PC", "Raffle_Enemies", "id", "t_consent_submit", "t_generalInstructions_submit", "t_age_submit", "t_race_submit", "t_hispanic_submit", "t_relationship_submit", "t_gender_submit", "t_sexori_submit", "t_T1Heart_submit", "t_T1Valence_submit", "t_T1Arousal_submit", "t_T1Dominance_submit", "t_rejectionEssayIntro_submit", "t_rejectionEssay_submit", "t_RPGinst_submit", "t_RPGplay_submit", "t_T2Heart_submit", "t_T2Valence_submit", "t_T2Arousal_submit", "t_T2Dominance_submit", "t_intractCharacters_submit", "t_closestCharacter_submit", "t_IOS_submit", "t_PSI_submit", "t_singleImmersion_submit", "t_narrativeEngagement_submit", "t_otfSocialWorld_submit", "t_enjoyment_submit", "t_PCidentification_submit", "t_almostDone_submit", "t_attentionRejection_submit", "t_attentionSashu_submit", "t_attentionStory_submit", "t_studyPurpose_submit", "t_shareAnything_submit", "t_raffle_submit", "attention_rejection_correct", "attention_parasocial_correct", "attention_social_world_correct", "attention_all_correct", "parasocial", "social_world", "debug", "mobile", "raffle_all_correct", "OTF_Social_World", "PC_Identification", "Enjoyment", "Gender_Identity_3GP", "Gender_Identity_2GP_EC", "Race_6GP", "parasocial_MC_group", "parasocial_EC", "social_world_EC"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "StartDate",
      "description": "Start Date",
      "@type": "propertyValue"
    },
    {
      "name": "EndDate",
      "description": "End Date",
      "@type": "propertyValue"
    },
    {
      "name": "Status",
      "description": "Response Type",
      "value": "0. IP Address,\n1. Survey Preview,\n2. Survey Test,\n4. Imported,\n8. Spam,\n9. Survey Preview Spam,\n12. Imported Spam,\n16. Offline,\n17. Offline Survey Preview,\n32. EX,\n40. EX Spam,\n48. EX Offline",
      "maxValue": 48,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "Progress",
      "description": "Progress",
      "@type": "propertyValue"
    },
    {
      "name": "Duration__in_seconds_",
      "description": "Duration (in seconds)",
      "@type": "propertyValue"
    },
    {
      "name": "Finished",
      "description": "Finished",
      "value": "0. False,\n1. True",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "RecordedDate",
      "description": "Recorded Date",
      "@type": "propertyValue"
    },
    {
      "name": "ResponseId",
      "description": "Response ID",
      "@type": "propertyValue"
    },
    {
      "name": "DistributionChannel",
      "description": "Distribution Channel",
      "@type": "propertyValue"
    },
    {
      "name": "UserLanguage",
      "description": "User Language",
      "@type": "propertyValue"
    },
    {
      "name": "Q_RecaptchaScore",
      "description": "Q_RecaptchaScore",
      "@type": "propertyValue"
    },
    {
      "name": "Age",
      "description": "Age",
      "@type": "propertyValue"
    },
    {
      "name": "Race",
      "@type": "propertyValue"
    },
    {
      "name": "Race_1",
      "description": "Race - Selected Choice Native American",
      "value": "1. Native American",
      "@type": "propertyValue"
    },
    {
      "name": "Race_2",
      "description": "Race - Selected Choice Black/African-American",
      "value": "1. Black/African-American",
      "@type": "propertyValue"
    },
    {
      "name": "Race_3",
      "description": "Race - Selected Choice White",
      "value": "1. White",
      "@type": "propertyValue"
    },
    {
      "name": "Race_4",
      "description": "Race - Selected Choice Asian",
      "value": "1. Asian",
      "@type": "propertyValue"
    },
    {
      "name": "Race_5",
      "description": "Race - Selected Choice Pacific Islander",
      "value": "1. Pacific Islander",
      "@type": "propertyValue"
    },
    {
      "name": "Race_6",
      "description": "Race - Selected Choice Prefer to self-describe",
      "value": "1. Prefer to self-describe",
      "@type": "propertyValue"
    },
    {
      "name": "Race_6_TEXT",
      "description": "Race - Prefer to self-describe - Text",
      "value": "1. ,\n2. Ashkenazi Jewish,\n3. Chinese,\n4. Hispanic,\n5. Hispanic/Latino,\n6. Jordanian,\n7. Latina,\n8. Latino,\n9. Latino/Latinx/Hispanic,\n10. Middle eastern,\n11. Middle Eastern,\n12. My parents are from Central America but I was born in the U.S.",
      "@type": "propertyValue"
    },
    {
      "name": "Hispanic",
      "description": "Hispanic",
      "value": "1. Yes,\n2. No",
      "maxValue": 2,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Relationship",
      "description": "Relationship Status - Selected Choice",
      "value": "1. Single—not interested in dating,\n2. Single—interested in dating,\n3. Dating Casually,\n4. Dating Exclusively,\n5. Engaged,\n6. Married,\n7. Other (specify):",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Relationship_7_TEXT",
      "description": "Relationship Status - Other (specify): - Text",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_Identity",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_1",
      "description": "Gender - Selected Choice Male",
      "value": "1. Male",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_2",
      "description": "Gender - Selected Choice Female",
      "value": "1. Female",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_8",
      "description": "Gender - Selected Choice Nonbinary",
      "value": "1. Nonbinary",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_6",
      "description": "Gender - Selected Choice Unsure",
      "value": "1. Unsure",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_7",
      "description": "Gender - Selected Choice Prefer to self-describe",
      "value": "1. Prefer to self-describe",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_7_TEXT",
      "description": "Gender - Prefer to self-describe - Text",
      "value": "1. ,\n2. Demigirl",
      "@type": "propertyValue"
    },
    {
      "name": "Sexori",
      "description": "Sexual Orientation - Selected Choice",
      "value": "1. Heterosexual,\n2. Gay/lesbian,\n3. Bisexual,\n8. Asexual,\n9. Pansexual,\n5. Unsure,\n6. Prefer to self-describe",
      "maxValue": 9,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Sexori_6_TEXT",
      "description": "Sexual Orientation - Prefer to self-describe - Text",
      "@type": "propertyValue"
    },
    {
      "name": "T1_Heart_1",
      "description": "T1 Heart",
      "@type": "propertyValue"
    },
    {
      "name": "T1_Valence_1",
      "description": "T1 Valence",
      "@type": "propertyValue"
    },
    {
      "name": "T1_Arousal_1",
      "description": "T1 Arousal",
      "@type": "propertyValue"
    },
    {
      "name": "T1_Dominance_1",
      "description": "T1 Dominance",
      "@type": "propertyValue"
    },
    {
      "name": "Rejection_Essay",
      "description": "Write about a time you felt rejected by a close other",
      "@type": "propertyValue"
    },
    {
      "name": "Rejection_Timer_First_Click",
      "description": "Timing - First Click",
      "@type": "propertyValue"
    },
    {
      "name": "Rejection_Timer_Last_Click",
      "description": "Timing - Last Click",
      "@type": "propertyValue"
    },
    {
      "name": "Rejection_Timer_Page_Submit",
      "description": "Timing - Page Submit",
      "@type": "propertyValue"
    },
    {
      "name": "Rejection_Timer_Click_Count",
      "description": "Timing - Click Count",
      "@type": "propertyValue"
    },
    {
      "name": "RPG_Timer_First_Click",
      "description": "Timing - First Click",
      "@type": "propertyValue"
    },
    {
      "name": "RPG_Timer_Last_Click",
      "description": "Timing - Last Click",
      "@type": "propertyValue"
    },
    {
      "name": "RPG_Timer_Page_Submit",
      "description": "Timing - Page Submit",
      "@type": "propertyValue"
    },
    {
      "name": "RPG_Timer_Click_Count",
      "description": "Timing - Click Count",
      "@type": "propertyValue"
    },
    {
      "name": "Game_Code_HH",
      "description": "After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.",
      "@type": "propertyValue"
    },
    {
      "name": "Game_Code_HL",
      "description": "After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.",
      "@type": "propertyValue"
    },
    {
      "name": "Game_Code_LH",
      "description": "After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.",
      "@type": "propertyValue"
    },
    {
      "name": "Game_Code_LL",
      "description": "After finishing the game, you will see a completion code (a 6-digit number). Please enter the code below to show the next button.",
      "@type": "propertyValue"
    },
    {
      "name": "T2_Heart_1",
      "description": "T2 Heart",
      "@type": "propertyValue"
    },
    {
      "name": "T2_Valence_1",
      "description": "T2 Valence",
      "@type": "propertyValue"
    },
    {
      "name": "T2_Arousal_1",
      "description": "T2 Arousal",
      "@type": "propertyValue"
    },
    {
      "name": "T2_Dominance_1",
      "description": "T2 Dominance",
      "@type": "propertyValue"
    },
    {
      "name": "Interact_with_NPC",
      "description": "Did you interact with NPCs?",
      "value": "1. Yes,\n2. No",
      "maxValue": 2,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Most_Close",
      "description": "Who did you feel close to? - Selected Choice",
      "value": "1. Sashu,\n2. Grandkid,\n3. Elder,\n4. Tenkeisei,\n5. Mother,\n6. Other (please specify)",
      "maxValue": 6,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Most_Close_6_TEXT",
      "description": "Who did you feel close to? - Other (please specify) - Text",
      "@type": "propertyValue"
    },
    {
      "name": "IOS",
      "description": "IOS",
      "value": "0. 0,\n1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "Single_Immersion",
      "description": "While playing the game, I felt completely immersed.",
      "value": "-3. Strongly disagree  -3,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. Strongly agree  3",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "OTF_Social_World_1",
      "description": "OTF Social World - The video game presented stories that I immersed myself in",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "OTF_Social_World_2",
      "description": "OTF Social World - The video game presented another social world where I felt like I belonged",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "OTF_Social_World_3",
      "description": "OTF Social World - The video game had a social narrative that told an engaging story",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "OTF_Social_World_4",
      "description": "OTF Social World - I found myself getting “lost” in the game’s story",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "enjoyment_1",
      "description": "Enjoyment - I think the game was fun.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "enjoyment_2",
      "description": "Enjoyment - I enjoyed playing the game.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "enjoyment_3R",
      "description": "Enjoyment - I felt bored while playing the game.",
      "value": "3. -3 Strongly disagree,\n2. -2,\n1. -1,\n0. 0,\n-1. 1,\n-2. 2,\n-3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "enjoyment_4",
      "description": "Enjoyment - I am likely to recommend this game to others.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "enjoyment_5",
      "description": "Enjoyment - If given the chance, I want to play this game again.",
      "value": "-3. -3 Strongly disagree,\n-2. -2,\n-1. -1,\n0. 0,\n1. 1,\n2. 2,\n3. 3 Strongly agree",
      "maxValue": 3,
      "minValue": -3,
      "@type": "propertyValue"
    },
    {
      "name": "PC_Identification_1",
      "description": "PCI - My character was like me in many ways",
      "value": "-2. -2 Strongly disagree,\n-1. -1,\n0. 0,\n1. 1,\n2. 2 Strongly agree",
      "maxValue": 2,
      "minValue": -2,
      "@type": "propertyValue"
    },
    {
      "name": "PC_Identification_2",
      "description": "PCI - My character resembled me",
      "value": "-2. -2 Strongly disagree,\n-1. -1,\n0. 0,\n1. 1,\n2. 2 Strongly agree",
      "maxValue": 2,
      "minValue": -2,
      "@type": "propertyValue"
    },
    {
      "name": "PC_Identification_3",
      "description": "PCI - I identified with my character",
      "value": "-2. -2 Strongly disagree,\n-1. -1,\n0. 0,\n1. 1,\n2. 2 Strongly agree",
      "maxValue": 2,
      "minValue": -2,
      "@type": "propertyValue"
    },
    {
      "name": "PC_Identification_4",
      "description": "PCI - My character was an extension of myself",
      "value": "-2. -2 Strongly disagree,\n-1. -1,\n0. 0,\n1. 1,\n2. 2 Strongly agree",
      "maxValue": 2,
      "minValue": -2,
      "@type": "propertyValue"
    },
    {
      "name": "PC_Identification_5",
      "description": "PCI - My character was similar to me",
      "value": "-2. -2 Strongly disagree,\n-1. -1,\n0. 0,\n1. 1,\n2. 2 Strongly agree",
      "maxValue": 2,
      "minValue": -2,
      "@type": "propertyValue"
    },
    {
      "name": "PC_Identification_6",
      "description": "PCI - I resembled my character",
      "value": "-2. -2 Strongly disagree,\n-1. -1,\n0. 0,\n1. 1,\n2. 2 Strongly agree",
      "maxValue": 2,
      "minValue": -2,
      "@type": "propertyValue"
    },
    {
      "name": "Attention_Rejection",
      "description": "What did you write in the first essay?",
      "value": "1. about a time I felt rejected,\n2. about a time I felt accepted,\n3. about my morning yesterday",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Attention_Sashu",
      "description": "Who was the NPC",
      "value": "1. Sashu,\n2. Akiko,\n3. None—I did not see any non-player character who followed me throughout the game",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Attention_Story",
      "description": "What was the story that best represented the game you played?",
      "value": "1. Higra answered the emperor's call and became a Samga, fighting for good, defeating the evil boss and reuniting with her mother at the end,\n2. Higra prepared a special dish for grandma's birthday,\n3. Higra battled evil bosses throughout the game, eventually winning, but did not reunite with her mother at the end.",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Study_Purpose",
      "description": "Did you wonder about the purposes?",
      "@type": "propertyValue"
    },
    {
      "name": "Share_Anything",
      "description": "Is there anything you'd like to share?",
      "@type": "propertyValue"
    },
    {
      "name": "Raffle_PC",
      "description": "Who was the player character?",
      "value": "1. Higra,\n2. Sashu,\n3. Elder",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Raffle_Enemies",
      "description": "What were the names of the enemies that you were fighting against?",
      "value": "1. Ekishin and Gakis,\n2. Dragon and Lizard,\n3. Finch and Elliot",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "id",
      "description": "id",
      "@type": "propertyValue"
    },
    {
      "name": "t_consent_submit",
      "description": "t_consent_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_generalInstructions_submit",
      "description": "t_generalInstructions_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_age_submit",
      "description": "t_age_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_race_submit",
      "description": "t_race_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_hispanic_submit",
      "description": "t_hispanic_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_relationship_submit",
      "description": "t_relationship_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_gender_submit",
      "description": "t_gender_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_sexori_submit",
      "description": "t_sexori_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T1Heart_submit",
      "description": "t_T1Heart_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T1Valence_submit",
      "description": "t_T1Valence_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T1Arousal_submit",
      "description": "t_T1Arousal_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T1Dominance_submit",
      "description": "t_T1Dominance_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_rejectionEssayIntro_submit",
      "description": "t_rejectionEssayIntro_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_rejectionEssay_submit",
      "description": "t_rejectionEssay_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_RPGinst_submit",
      "description": "t_RPGinst_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_RPGplay_submit",
      "description": "t_RPGplay_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T2Heart_submit",
      "description": "t_T2Heart_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T2Valence_submit",
      "description": "t_T2Valence_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T2Arousal_submit",
      "description": "t_T2Arousal_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_T2Dominance_submit",
      "description": "t_T2Dominance_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_intractCharacters_submit",
      "description": "t_intractCharacters_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_closestCharacter_submit",
      "description": "t_closestCharacter_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_IOS_submit",
      "description": "t_IOS_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_PSI_submit",
      "description": "t_PSI_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_singleImmersion_submit",
      "description": "t_singleImmersion_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_narrativeEngagement_submit",
      "description": "t_narrativeEngagement_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_otfSocialWorld_submit",
      "description": "t_otfSocialWorld_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_enjoyment_submit",
      "description": "t_enjoyment_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_PCidentification_submit",
      "description": "t_PCidentification_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_almostDone_submit",
      "description": "t_almostDone_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_attentionRejection_submit",
      "description": "t_attentionRejection_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_attentionSashu_submit",
      "description": "t_attentionSashu_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_attentionStory_submit",
      "description": "t_attentionStory_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_studyPurpose_submit",
      "description": "t_studyPurpose_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_shareAnything_submit",
      "description": "t_shareAnything_submit",
      "@type": "propertyValue"
    },
    {
      "name": "t_raffle_submit",
      "description": "t_raffle_submit",
      "@type": "propertyValue"
    },
    {
      "name": "attention_rejection_correct",
      "@type": "propertyValue"
    },
    {
      "name": "attention_parasocial_correct",
      "@type": "propertyValue"
    },
    {
      "name": "attention_social_world_correct",
      "@type": "propertyValue"
    },
    {
      "name": "attention_all_correct",
      "@type": "propertyValue"
    },
    {
      "name": "parasocial",
      "@type": "propertyValue"
    },
    {
      "name": "social_world",
      "@type": "propertyValue"
    },
    {
      "name": "debug",
      "description": "debug",
      "@type": "propertyValue"
    },
    {
      "name": "mobile",
      "description": "mobile",
      "@type": "propertyValue"
    },
    {
      "name": "raffle_all_correct",
      "description": "raffle_all_correct",
      "@type": "propertyValue"
    },
    {
      "name": "OTF_Social_World",
      "description": "4 OTF_Social_World items aggregated by rowMeans",
      "@type": "propertyValue"
    },
    {
      "name": "PC_Identification",
      "description": "6 PC_Identification items aggregated by rowMeans",
      "@type": "propertyValue"
    },
    {
      "name": "Enjoyment",
      "description": "5 enjoyment items aggregated by rowMeans",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_Identity_3GP",
      "@type": "propertyValue"
    },
    {
      "name": "Gender_Identity_2GP_EC",
      "@type": "propertyValue"
    },
    {
      "name": "Race_6GP",
      "@type": "propertyValue"
    },
    {
      "name": "parasocial_MC_group",
      "value": "1. No Interaction with NPC,\n2. No Parasocial Relationship with NPC,\n3. Formed Parasocial Relationship with NPC",
      "@type": "propertyValue"
    },
    {
      "name": "parasocial_EC",
      "@type": "propertyValue"
    },
    {
      "name": "social_world_EC",
      "@type": "propertyValue"
    }
  ]
}`
# Save the codebook summary information as csv
s3_codebook_tibble <- codebook_table(s3_df)
## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".

## Warning in sorted_count(x): Variable contains value(s) of "" that have been
## converted to "empty".
write_csv(s3_codebook_tibble,
          here("codebooks", "Study 3 - Codebook Table.csv"))